Seedance 2.0 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.
Explorar Modelos Líderes
Atlas Cloud le proporciona los últimos modelos creativos líderes en la industria.
Velocidad pico
Costo más bajo
| Modalidad | Descripción |
|---|---|
| Seedance 2.0 T2V API (Text To Video) | La API Seedance 2.0 T2V permite a los desarrolladores transformar indicaciones de texto en clips de video cinematográficos. Al definir cámaras, escenas y movimiento, genera contenido fluido y sincronizado con audio, optimizado para guiones gráficos profesionales, marketing dinámico y narración en redes sociales. |
| Seedance 2.0 I2V API (Image To Video) | La Seedance 2.0 I2V API transforma imágenes estáticas en contenido de video dinámico, asegurando una preservación de alta fidelidad de las identidades y estilos originales. Ofrece una solución potente para elevar retratos, exhibiciones de productos y narraciones con precisión cinematográfica. |
| Seedance 2.0 V2V(R2V) API (Video To Video) | La API Seedance 2.0 V2V (R2V) permite rediseñar estilos de video, editar, extender secuencias sin interrupciones y fusionar clips sin esfuerzo. Captura el movimiento y el ritmo originales a la vez que proporciona herramientas intuitivas para unir o alargar escenas con transiciones suaves, garantizando un control creativo total sobre la edición de video y los efectos visuales. |
Nuevas funciones de Seedance 2.0 Models + Showcase
La combinación de modelos avanzados con la plataforma acelerada por GPU de Atlas Cloud ofrece velocidad, escalabilidad y control creativo inigualables para la generación de imágenes y videos.
Capacidades de referencia multimodal mediante la API Seedance 2.0
La API Seedance 2.0 admite entradas mixtas de hasta 12 archivos (imagen, vídeo, audio) para comprender profundamente la intención creativa. Al especificar "reference" o "edit" en los prompts, los usuarios pueden replicar con precisión el movimiento, el lenguaje de cámara, los efectos y los paisajes sonoros de cualquier fuente. Es la solución definitiva para la sincronización rítmica de música, transiciones fluidas y edición creativa de alto impacto.
Consistencia y estabilidad extremas mediante Seedance 2.0 API
Seedance 2.0 mejora significativamente la comprensión de las leyes físicas y las instrucciones. Ya sean rasgos faciales, detalles de la ropa o el estilo visual general, mantiene una alta uniformidad a lo largo del clip. Esto es crucial para el contenido de formato largo y la narrativa de marca, asegurando la continuidad de la IP del personaje y permitiendo que el video con IA se utilice finalmente para narrativas serias y anuncios comerciales.
Sincronización audiovisual y ajuste de ritmo mediante la API Seedance 2.0
Seedance 2.0 ofrece una sincronización nativa de alta fidelidad entre el movimiento visual y capas de audio complejas. Al alinear con precisión acciones físicas intrincadas con ritmos y frecuencias vocales, asegura una armonía perfecta entre el sonido y la escena. Esta capacidad es esencial para cualquier contenido impulsado por el ritmo, desde anuncios comerciales de alta energía y actuaciones digitales hasta narrativas cinematográficas inmersivas donde cada fotograma debe respirar con el sonido.
Qué Puedes Hacer con Seedance 2.0 Models
Descubra casos de uso prácticos y flujos de trabajo que puede crear con esta familia de modelos — desde creación de contenido y automatización hasta aplicaciones de nivel producción.
Exhibición de moda y productos de alta fidelidad con la API Seedance 2.0
La API Seedance 2.0 destaca en la transformación de imágenes estáticas de productos en secuencias cinematográficas de alta moda. Al preservar las texturas complejas de las prendas, los detalles de los personajes y la estética de la marca, el modelo garantiza la consistencia visual a través de movimientos dinámicos y cambios de iluminación. Ideal para el comercio electrónico de alta gama, lookbooks digitales y la narración de historias de marcas de lujo donde la identidad visual de alta fidelidad es primordial.
Continuidad narrativa impulsada por personajes mediante la API Seedance 2.0
Para la narración compleja, Seedance 2.0 ofrece una estabilidad inigualable en la IP de los personajes y los entornos físicos. Los desarrolladores pueden mantener una estricta uniformidad en los rasgos faciales y la vestimenta a través de múltiples tomas, cumpliendo con leyes físicas consistentes e instrucciones de dirección. Este caso de uso es perfecto para cortometrajes animados, contenido social serializado y narrativas cinematográficas impulsadas por IA que requieren una continuidad de nivel profesional.
Sincronización rítmica y musical precisa con la API Seedance 2.0
Aprovechando la integración audiovisual nativa, la API Seedance 2.0 sincroniza movimientos visuales complejos con señales de audio rítmicas. Desde la digitación precisa de instrumentos en la actuación de una banda hasta el ajuste de ritmos de alta energía en videos de baile, el modelo alinea perfectamente las frecuencias de movimiento con los paisajes sonoros. Esto es ideal para la producción de videos musicales, anuncios sociales impulsados por el ritmo y actuaciones digitales inmersivas.
Comparación de Modelos
Vea cómo se comparan los modelos de diferentes proveedores — compare rendimiento, precios y fortalezas únicas para tomar una decisión informada.
| Modelo | Tipos de entrada | Duración de la salida | Resolución | Generación de audio |
|---|---|---|---|---|
| Seedance 2.0 | Texto, Imagen, Video, Audio | 4~15s | 720P, 480P | √ |
| Seedance 1.5 Pro | Texto, Imagen | 4~12s | 720P, 480P | √ |
| Seedance 1.0 Pro | Texto, Imagen | 5s;10s | 1080P, 720P, 480P | √ |
| Seedance 1.0 Lite | Texto, Imagen | 5s;10s | 1080P, 720P, 480P | √ |
| Kling 3.0 | Texto, Imagen, Vídeo, Audio | 3~15s | 720P | √ |
| Veo 3.1 | Texto, Imagen | 4s;6s;8s | 1080P, 720P | √ |
| Wan 2.6 | Texto, Imagen, Video, Audio | 5s;10s;15s | 1080P, 720P | √ |
How to Use Seedance 2.0 Models on Atlas Cloud
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Por Qué Usar Seedance 2.0 Models en Atlas Cloud
Combina modelos avanzados de Seedance 2.0 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 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.
Preguntas Frecuentes sobre Seedance 2.0 Models
Seedance 2.0 ofrece la máxima flexibilidad creativa, soportando de forma nativa una amplia gama de relaciones de aspecto, incluyendo 21:9, 16:9, 4:3, 1:1, 3:4 y 9:16. La duración del video es totalmente personalizable entre 4 y 15 segundos, adaptándose a todo, desde fragmentos para redes sociales hasta guiones gráficos cinematográficos profesionales.
Esta función permite una entrada mixta de hasta 12 archivos (imágenes, videos y audio) para guiar el proceso de generación. Al especificar "reference" en sus prompts, el modelo puede replicar con precisión la composición de una imagen o el ritmo de movimiento y el lenguaje de cámara de un video fuente.
Sí. Seedance 2.0 cuenta con sincronización audiovisual nativa de alta fidelidad. No solo genera paisajes sonoros a juego; alinea movimientos físicos intrincados —como la digitación de instrumentos o pasos de baile— con ritmos y frecuencias vocales. Esto asegura que cada fotograma coincida perfectamente con el tempo del audio.
Explorar Más Series
Happy Horse 1.0
HappyHorse-1.0 is a unified multimodal AI video generation model that climbed to the top of the Artificial Analysis Video Arena blind-test leaderboard for both text-to-video and image-to-video generation. CNBC Alibaba Group confirmed ownership of HappyHorse, developed under its Alibaba Token Hub (ATH) business unit, where it leads benchmarks outperforming ByteDance's Seedance 2.0 and others. Caixin Global Led by Zhang Di — the former VP of Kuaishou who architected Kling AI — the 15-billion parameter model generates 1080p video with synchronized audio in a single pass using a unified transformer architecture that bypasses the multi-stage pipelines used by every major competitor.
Seedance 2.0 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.
GPT Image 2 Models
GPT Image 2 is a state-of-the-art multimodal foundation model engineered for exceptional text-to-image generation with unprecedented photorealism and creative versatility. Developed by OpenAI as the evolution of the DALL-E lineage, it transforms detailed natural language descriptions into hyper-realistic imagery at up to 4K resolution. With proprietary "Neural Rendering Engine" technology for precise visual control, GPT Image 2 delivers studio-quality results with accurate anatomy, lighting, and composition—making it the premier AI tool for professional creators, enterprises, and developers demanding production-ready visual assets.
Wan2.7 Models
Launching this March, Wan2.7 is the latest powerhouse in the Qwen ecosystem, delivering a massive upgrade in visual fidelity, audio synchronization, and motion consistency over version 2.6. This all-in-one AI video generator supports advanced features like first-and-last frame control, 3x3 grid synthesis, and instruction-based video editing. Outperforming competitors like Jimeng, Wan2.7 offers superior flexibility with support for real-person image inputs, up to five video references, and 1080P high-definition outputs spanning 2 to 15 seconds, making it the premier choice for professional digital storytelling and high-end content marketing.
Veo3.1 Models
Google DeepMind’s Veo 3.1 represents a paradigm shift in AI video generation, empowering creators with director-level narrative control and cinematic-grade audio quality that seamlessly integrates with its enhanced visual realism. By bridging the gap between imaginative concepts and photorealistic execution, this advanced model offers a transformative solution for a wide range of application scenarios, from professional filmmaking and high-end advertising to immersive digital content creation.
ERNIE Image Models
ERNIE-Image is an open-weight text-to-image model developed by the ERNIE-Image Team at Baidu, built on a single-stream Diffusion Transformer (DiT) with 8B parameters and paired with a lightweight Prompt Enhancer that rewrites short prompts into richer, more structured descriptions before passing them to the diffusion backbone. NYU Shanghai RITS Released on April 15, 2026 under the Apache 2.0 license, it transforms natural language descriptions into detailed imagery with particular strength in text rendering and structured layout generation. ERNIE-Image is designed not only for strong visual quality, but for controllability in practical generation scenarios where accurate content realization matters as much as aesthetics — making it well-suited for commercial posters, comics, multi-panel layouts, and other content creation tasks that require both visual quality and precise control.
GPT Image Models
The GPT Image Family is OpenAI's latest suite of multimodal image generation and editing models, built on the powerful GPT architecture. This family includes three tiers — GPT Image-1, GPT Image-1.5, and GPT Image-1 Mini — each available in both Text-to-Image and Image-to-Image variants. Combining GPT's world-class language understanding with DALL·E-class visual synthesis, these models deliver exceptional prompt adherence, photorealistic rendering, and creative versatility across illustration, photography, design, and visualization tasks. The series offers flexible pricing and quality tiers to match any workflow — from rapid prototyping and high-volume content production to professional-grade final deliverables. Whether you need ultra-fast iterations at minimal cost or maximum quality for brand campaigns, the GPT Image Family has a solution tailored to your needs.
Nano Banana2 Models
Nano Banana 2 (by Google), is a generative image model that perfectly balances lightning-fast rendering with exceptional visual quality. With an improved price-performance ratio, it achieves breakthrough micro-detail depiction, accurate native text rendering, and complex physical structure reconstruction. It serves as a highly efficient, commercial-grade visual production tool for developers, marketing teams, and content creators.
Seedream5.0 Models
Seedream 5.0, developed by ByteDance’s Jimeng AI, is a high-performance AI image generation model that integrates real-time search with intelligent reasoning. Purpose-built for time-sensitive content and complex visual logic, it excels at professional infographics, architectural design, and UI assistance. By blending live web insights with creative precision, Seedream 5.0 empowers commercial branding and marketing with a seamless, logic-driven workflow that turns sophisticated data into stunning, high-fidelity visuals.
Kling3.0 Models
Kuaishou’s flagship video generation suite, Kling 3.0, features two powerhouse models—Kling 3.0 (Upgraded from Kling 2.6) and Kling 3.0 Omni (Kling O3, Upgraded from Kling O1)—both offering high-fidelity native audio integration. While Kling 3.0 excels in intelligent cinematic storytelling, multilingual lip-syncing, and precision text rendering, Kling O3 sets a new standard for professional-grade subject consistency by supporting custom subjects and voice clones derived from video or image inputs. Together, these models provide a comprehensive solution tailored for cinematic narratives, global marketing campaigns, social media content, and digital skit production.
GLM LLM Models
GLM is a cutting-edge LLM series by Z.ai (Zhipu AI) featuring GLM-5, GLM-4.7, and GLM-4.6. Engineered for complex systems and long-horizon agentic tasks, GLM-5 outperforms top-tier closed-source models in elite benchmarks like Humanity’s Last Exam and BrowseComp. While GLM-4.7 specializes in reasoning, coding, and real-world intelligent agents, the entire GLM suite is fast, smart, and reliable, making it the ultimate tool for building websites, analyzing data, and delivering instant, high-quality answers for any professional workflow.
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.
Happy Horse 1.0
HappyHorse-1.0 is a unified multimodal AI video generation model that climbed to the top of the Artificial Analysis Video Arena blind-test leaderboard for both text-to-video and image-to-video generation. CNBC Alibaba Group confirmed ownership of HappyHorse, developed under its Alibaba Token Hub (ATH) business unit, where it leads benchmarks outperforming ByteDance's Seedance 2.0 and others. Caixin Global Led by Zhang Di — the former VP of Kuaishou who architected Kling AI — the 15-billion parameter model generates 1080p video with synchronized audio in a single pass using a unified transformer architecture that bypasses the multi-stage pipelines used by every major competitor.
Seedance 2.0 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.
GPT Image 2 Models
GPT Image 2 is a state-of-the-art multimodal foundation model engineered for exceptional text-to-image generation with unprecedented photorealism and creative versatility. Developed by OpenAI as the evolution of the DALL-E lineage, it transforms detailed natural language descriptions into hyper-realistic imagery at up to 4K resolution. With proprietary "Neural Rendering Engine" technology for precise visual control, GPT Image 2 delivers studio-quality results with accurate anatomy, lighting, and composition—making it the premier AI tool for professional creators, enterprises, and developers demanding production-ready visual assets.
Wan2.7 Models
Launching this March, Wan2.7 is the latest powerhouse in the Qwen ecosystem, delivering a massive upgrade in visual fidelity, audio synchronization, and motion consistency over version 2.6. This all-in-one AI video generator supports advanced features like first-and-last frame control, 3x3 grid synthesis, and instruction-based video editing. Outperforming competitors like Jimeng, Wan2.7 offers superior flexibility with support for real-person image inputs, up to five video references, and 1080P high-definition outputs spanning 2 to 15 seconds, making it the premier choice for professional digital storytelling and high-end content marketing.
Veo3.1 Models
Google DeepMind’s Veo 3.1 represents a paradigm shift in AI video generation, empowering creators with director-level narrative control and cinematic-grade audio quality that seamlessly integrates with its enhanced visual realism. By bridging the gap between imaginative concepts and photorealistic execution, this advanced model offers a transformative solution for a wide range of application scenarios, from professional filmmaking and high-end advertising to immersive digital content creation.
ERNIE Image Models
ERNIE-Image is an open-weight text-to-image model developed by the ERNIE-Image Team at Baidu, built on a single-stream Diffusion Transformer (DiT) with 8B parameters and paired with a lightweight Prompt Enhancer that rewrites short prompts into richer, more structured descriptions before passing them to the diffusion backbone. NYU Shanghai RITS Released on April 15, 2026 under the Apache 2.0 license, it transforms natural language descriptions into detailed imagery with particular strength in text rendering and structured layout generation. ERNIE-Image is designed not only for strong visual quality, but for controllability in practical generation scenarios where accurate content realization matters as much as aesthetics — making it well-suited for commercial posters, comics, multi-panel layouts, and other content creation tasks that require both visual quality and precise control.
GPT Image Models
The GPT Image Family is OpenAI's latest suite of multimodal image generation and editing models, built on the powerful GPT architecture. This family includes three tiers — GPT Image-1, GPT Image-1.5, and GPT Image-1 Mini — each available in both Text-to-Image and Image-to-Image variants. Combining GPT's world-class language understanding with DALL·E-class visual synthesis, these models deliver exceptional prompt adherence, photorealistic rendering, and creative versatility across illustration, photography, design, and visualization tasks. The series offers flexible pricing and quality tiers to match any workflow — from rapid prototyping and high-volume content production to professional-grade final deliverables. Whether you need ultra-fast iterations at minimal cost or maximum quality for brand campaigns, the GPT Image Family has a solution tailored to your needs.
Nano Banana2 Models
Nano Banana 2 (by Google), is a generative image model that perfectly balances lightning-fast rendering with exceptional visual quality. With an improved price-performance ratio, it achieves breakthrough micro-detail depiction, accurate native text rendering, and complex physical structure reconstruction. It serves as a highly efficient, commercial-grade visual production tool for developers, marketing teams, and content creators.
Seedream5.0 Models
Seedream 5.0, developed by ByteDance’s Jimeng AI, is a high-performance AI image generation model that integrates real-time search with intelligent reasoning. Purpose-built for time-sensitive content and complex visual logic, it excels at professional infographics, architectural design, and UI assistance. By blending live web insights with creative precision, Seedream 5.0 empowers commercial branding and marketing with a seamless, logic-driven workflow that turns sophisticated data into stunning, high-fidelity visuals.
Kling3.0 Models
Kuaishou’s flagship video generation suite, Kling 3.0, features two powerhouse models—Kling 3.0 (Upgraded from Kling 2.6) and Kling 3.0 Omni (Kling O3, Upgraded from Kling O1)—both offering high-fidelity native audio integration. While Kling 3.0 excels in intelligent cinematic storytelling, multilingual lip-syncing, and precision text rendering, Kling O3 sets a new standard for professional-grade subject consistency by supporting custom subjects and voice clones derived from video or image inputs. Together, these models provide a comprehensive solution tailored for cinematic narratives, global marketing campaigns, social media content, and digital skit production.
GLM LLM Models
GLM is a cutting-edge LLM series by Z.ai (Zhipu AI) featuring GLM-5, GLM-4.7, and GLM-4.6. Engineered for complex systems and long-horizon agentic tasks, GLM-5 outperforms top-tier closed-source models in elite benchmarks like Humanity’s Last Exam and BrowseComp. While GLM-4.7 specializes in reasoning, coding, and real-world intelligent agents, the entire GLM suite is fast, smart, and reliable, making it the ultimate tool for building websites, analyzing data, and delivering instant, high-quality answers for any professional workflow.
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.
