Seedance 2.0 Video Models
Seedance 2.0 (od Bytedance) to multimodalny model generowania wideo, który na nowo definiuje „kontrolowane tworzenie”, wykraczając poza ograniczenia tekstu lub klatek początkowych/końcowych. Obsługuje on dane wejściowe w czterech trybach — tekst, obraz, wideo i dźwięk — oraz wprowadza wiodący w branży system „Universal Reference”. Dzięki precyzyjnemu odwzorowaniu kompozycji, ruchu kamery i działań postaci z zasobów referencyjnych, Seedance 2.0 rozwiązuje krytyczne problemy związane ze spójnością postaci i koherencją fizyczną, umożliwiając twórcom działanie jako prawdziwi „reżyserzy” z głęboką kontrolą nad wynikami.
Poznaj Wiodące Modele
Atlas Cloud zapewnia najnowsze, wiodące w branży modele kreatywne.
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.
Co Wyróżnia Seedance 2.0 Video Models
Atlas Cloud zapewnia najnowsze, wiodące w branży modele kreatywne.
Wejście czteromodalne
Obsługuje swobodną kombinację danych wejściowych w postaci obrazu, wideo, dźwięku i tekstu (do 12 plików), znacznie poszerzając wymiary kreatywne.
Uniwersalny System Odniesienia
Oferuje funkcję „Reference Everything”, precyzyjnie odwzorowującą pracę kamery, złożone rytmy akcji i efekty kreatywne z filmów referencyjnych.
Absolutna Spójność
Zachowuje idealną spójność rysów twarzy, detali ubioru, stylu sceny, a nawet małego tekstu w kadrze w wielu ujęciach.
Inteligentna edycja wideo
Natywnie obsługuje zamianę postaci, płynne rozszerzanie i łączenie wielu klipów w istniejących filmach, umożliwiając nie tylko generowanie, ale także ciągłe filmowanie.
Synchronizacja audiowizualna
Obsługuje przesyłanie dźwięku jako odniesienia rytmicznego i potrafi automatycznie generować pasujące wysokiej jakości efekty dźwiękowe oraz muzykę.
Złożone sterowanie kamerą
Osiąga złożone filmowe ruchy kamery, takie jak zoom Hitchcocka czy ujęcia ciągłe, po prostu używając wideo referencyjnego, bez konieczności stosowania technicznych promptów.
Co Możesz Zrobić z Seedance 2.0 Video Models
Atlas Cloud zapewnia najnowsze, wiodące w branży modele kreatywne.
Reżyseruj złożone sceny, odnosząc się do konkretnych kątów kamery i działań postaci z istniejących klipów wideo.
Edytuj materiał płynnie, zamieniając postacie lub wydłużając czas trwania bez utraty spójności wizualnej.
Zsynchronizuj obraz z rytmem muzyki, tworząc dynamiczne montaże idealnie dopasowane do przesłanych plików audio.
Twórz spójne narracje marki, zachowując precyzję detali produktu i tekstu w różnych scenach.
Dlaczego Używać Seedance 2.0 Video Models na Atlas Cloud
Połączenie zaawansowanych modeli Seedance 2.0 Video Models z platformą GPU-akcelerowaną Atlas Cloud zapewnia niezrównaną wydajność, skalowalność i doświadczenie deweloperskie.
Wydajność i Elastyczność
Niska Latencja:
Inferencja zoptymalizowana pod GPU dla rozumowania w czasie rzeczywistym.
Zunifikowane API:
Uruchamiaj Seedance 2.0 Video Models, GPT, Gemini i DeepSeek za pomocą jednej integracji.
Przejrzysta Wycena:
Przewidywalne rozliczenia za token z opcjami serverless.
Przedsiębiorstwo i Skala
Doświadczenie Dewelopera:
SDK, analityka, narzędzia dostrajania i szablony.
Niezawodność:
99,99% dostępności, RBAC i logowanie gotowe na zgodność.
Bezpieczeństwo i Zgodność:
SOC 2 Type II, zgodność z HIPAA, suwerenność danych w USA.
Poznaj Więcej Rodzin
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.
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.
