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.
Explore the Leading Seedance 2.0 Video Models
Atlas Cloud provides you with the latest industry-leading creative models.
What Makes Seedance 2.0 Video Models Stand Out
Atlas Cloud provides you with the latest industry-leading creative models.
Quad-Modal Input
Supports the free combination of image, video, audio, and text inputs (up to 12 files), vastly expanding creative dimensions.
Universal Reference System
Features a "Reference Everything" capability, accurately replicating camera language, complex action rhythms, and creative effects from reference videos.
Ultimate Consistency
Maintains perfect unity of facial features, clothing details, scene styles, and even small in-frame text across multiple shots.
Intelligent Video Editing
Natively supports character replacement, smooth extension, and multi-clip fusion on existing videos, enabling not just generation but continuous filming.
Audio-Visual Sync
Supports uploading audio as a rhythm reference and can automatically generate matching high-quality sound effects and music.
Complex Camera Control
Achieves complex cinematic camera moves like Hitchcock zooms or continuous shots simply by using a reference video, without needing technical prompts.
Peak speed
Lowest cost
| Modality | Description |
|---|---|
| Seedance 2.0 T2V API (Text To Video) | The Seedance 2.0 T2V API empowers developers to transform text prompts into cinematic video clips. By defining cameras, scenes, and motion, it generates fluid, audio-synced content optimized for professional storyboarding, dynamic marketing, and social media storytelling. |
| Seedance 2.0 I2V API (Image To Video) | The Seedance 2.0 I2V API transforms static images into dynamic video content while ensuring high-fidelity preservation of original identities and styles. It provides a powerful solution for elevating portraits, product showcases, and narrative storytelling with cinematic precision. |
| Seedance 2.0 V2V(R2V) API (Video To Video) | The Seedance 2.0 V2V (R2V) API enables effortless video restyling, video editing, seamless extensions, and clip blending. It captures the original motion and pacing while providing intuitive tools to merge or lengthen scenes with smooth transitions, ensuring full creative control over video editing and visual effects. |
New features of Seedance 2.0 Video Models + Showcase
Combining advanced models with Atlas Cloud's GPU-accelerated platform delivers unmatched speed, scalability, and creative control for image and video generation.
Multimodal Reference Capabilities using Seedance 2.0 API
The Seedance 2.0 API supports mixed inputs of up to 12 files (image, video, audio) to deeply understand creative intent. By specifying "reference" or "edit" in prompts, users can precisely replicate motion, camera language, effects, and soundscapes from any source. It is the ultimate solution for rhythmic music synchronization, seamless transitions, and high-impact creative editing.
Extreme Consistency & Stability using Seedance 2.0 API
Seedance 2.0 significantly enhances the understanding of physical laws and instructions. Whether it's facial features, clothing details, or overall visual style, it maintains high uniformity throughout the clip. This is crucial for long-form content and brand storytelling, ensuring Character IP continuity and allowing AI video to finally be used for serious narratives and commercial advertisements.
Audio-Visual Sync & Beat Matching using Seedance 2.0 API
Seedance 2.0 delivers native, high-fidelity synchronization between visual motion and complex audio layers. By precisely aligning intricate physical actions with rhythmic beats and vocal frequencies, it ensures perfect harmony between sound and scene. This capability is essential for any rhythm-driven content—from high-energy commercial spots and digital performances to immersive cinematic storytelling where every frame must breathe with the sound.
What You Can Do with Seedance 2.0 Video Models
Discover practical use cases and workflows you can build with this model family — from content creation and automation to production-grade applications.
High-Fidelity Fashion & Product Showcase with the Seedance 2.0 API
The Seedance 2.0 API excels at transforming static product images into high-fashion cinematic sequences. By preserving intricate garment textures, character details, and brand aesthetics, the model ensures visual consistency across dynamic movements and lighting shifts. Ideal for high-end e-commerce, digital lookbooks, and luxury brand storytelling where high-fidelity visual identity is paramount.
Character-Driven Narrative Continuity Using the Seedance 2.0 API
For complex storytelling, Seedance 2.0 provides unmatched stability in character IP and physical environments. Developers can maintain strict uniformity in facial features and clothing across multiple shots, adhering to consistent physical laws and directorial instructions. This use case is perfect for animated short films, serialized social content, and AI-driven cinematic narratives requiring professional-grade continuity.
Precision Rhythmic & Musical Syncing with the Seedance 2.0 API
Leveraging native audio-visual integration, the Seedance 2.0 API synchronizes complex visual motion with rhythmic audio cues. From precise instrument fingerwork in a band performance to high-energy beat matching in dance videos, the model aligns motion frequencies with soundscapes perfectly. This fits music video production, rhythm-driven social ads, and immersive digital performances.
Model Comparison
See how models from different providers stack up — compare performance, pricing, and unique strengths to make an informed decision.
| Model | Input Types | Output Duration | Resolution | Audio Generation |
|---|---|---|---|---|
| Seedance 2.0 | Text, Image, Video, Audio | 4~15s | 2K, 1080P, 720P, 480P | √ |
| Seedance 1.5 Pro | Text, Image | 4~12s | 720P, 480P | √ |
| Seedance 1.0 Pro | Text, Image | 5s;10s | 1080P, 720P, 480P | √ |
| Seedance 1.0 Lite | Text, Image | 5s;10s | 1080P, 720P, 480P | √ |
| Kling 3.0 | Text, Image, Video, Audio | 3~15s | 720P | √ |
| Veo 3.1 | Text, Image | 4s;6s;8s | 1080P, 720P | √ |
| Wan 2.6 | Text, Image, Video, Audio | 5s;10s;15s | 1080P, 720P | √ |
How to Use Seedance 2.0 Video Models on Atlas Cloud
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Why Use Seedance 2.0 Video Models on Atlas Cloud
Combining the advanced Seedance 2.0 Video Models models with Atlas Cloud's GPU-accelerated platform provides unmatched performance, scalability, and developer experience.
Performance & flexibility
Low Latency:
GPU-optimized inference for real-time reasoning.
Unified API:
Run Seedance 2.0 Video Models, GPT, Gemini, and DeepSeek with one integration.
Transparent Pricing:
Predictable per-token billing with serverless options.
Enterprise & Scale
Developer Experience:
SDKs, analytics, fine-tuning tools, and templates.
Reliability:
99.99% uptime, RBAC, and compliance-ready logging.
Security & Compliance:
SOC 2 Type II, HIPAA alignment, data sovereignty in US.
Frequently Asked Questions about Seedance 2.0 Video Models
Seedance 2.0 offers maximum creative flexibility, natively supporting a wide range of aspect ratios including 21:9, 16:9, 4:3, 1:1, 3:4, and 9:16. Video duration is fully customizable between 4 and 15 seconds, catering to everything from social media snippets to professional cinematic storyboards.
This feature allows for a mixed input of up to 12 files (images, videos, and audio) to guide the generation process. By specifying "reference" in your prompts, the model can precisely replicate the composition of an image or the motion rhythm and camera language of a source video.
Yes. Seedance 2.0 features native, high-fidelity audio-visual synchronization. It doesn't just generate matching soundscapes; it aligns intricate physical motions—such as instrument fingerwork or dance steps—with rhythmic beats and vocal frequencies. This ensures that every frame perfectly matches the audio tempo.
Explore More Families
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Wan 2.7 Video 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.
Nano Banana 2 Image 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.
Seedream 5.0 Image 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.
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.
Kling 3.0 Video 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.
Vidu Video Models
Vidu, a joint innovation by Shengshu AI and Tsinghua University, is a high-performance video model powered by the original U-ViT architecture that blends Diffusion and Transformer technologies. It delivers long-form, highly consistent, and dynamic video content tailored for professional filmmaking, animation design, and creative advertising. By streamlining high-end visual production, Vidu empowers creators to transform complex ideas into cinematic reality with unprecedented efficiency.
Van Video Models
Built on the Wan 2.5 and 2.6 frameworks, Van Model is a flagship AI video series that delivers superior high-resolution outputs with unmatched creative freedom. By blending cinematic 3D VAE visuals with Flow Matching dynamics, it leverages proprietary compute distillation to offer ultra-fast inference speeds at a fraction of the cost, making it the premier engine for scalable, high-frequency video production on a budget.
MiniMax LLM Models
As a premier suite of Large Language Models (LLMs) developed by MiniMax AI, MiniMax is engineered to redefine real-world productivity through cutting-edge artificial intelligence. The ecosystem features MiniMax M2.5, which is purpose-built for high-efficiency professional environments, and MiniMax M2.1, a model that offers significantly enhanced multi-language programming capabilities to master complex, large-scale technical tasks. By achieving SOTA performance in coding, agentic tool use, intelligent search, and office workflow automation, MiniMax empowers users to streamline a wide range of economically valuable operations with unparalleled precision and reliability.
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.
Promote Models (Qwen)
Wan 2.7 Video 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.
Nano Banana 2 Image 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.
Seedream 5.0 Image 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.
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.
Kling 3.0 Video 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.
Vidu Video Models
Vidu, a joint innovation by Shengshu AI and Tsinghua University, is a high-performance video model powered by the original U-ViT architecture that blends Diffusion and Transformer technologies. It delivers long-form, highly consistent, and dynamic video content tailored for professional filmmaking, animation design, and creative advertising. By streamlining high-end visual production, Vidu empowers creators to transform complex ideas into cinematic reality with unprecedented efficiency.
Van Video Models
Built on the Wan 2.5 and 2.6 frameworks, Van Model is a flagship AI video series that delivers superior high-resolution outputs with unmatched creative freedom. By blending cinematic 3D VAE visuals with Flow Matching dynamics, it leverages proprietary compute distillation to offer ultra-fast inference speeds at a fraction of the cost, making it the premier engine for scalable, high-frequency video production on a budget.
MiniMax LLM Models
As a premier suite of Large Language Models (LLMs) developed by MiniMax AI, MiniMax is engineered to redefine real-world productivity through cutting-edge artificial intelligence. The ecosystem features MiniMax M2.5, which is purpose-built for high-efficiency professional environments, and MiniMax M2.1, a model that offers significantly enhanced multi-language programming capabilities to master complex, large-scale technical tasks. By achieving SOTA performance in coding, agentic tool use, intelligent search, and office workflow automation, MiniMax empowers users to streamline a wide range of economically valuable operations with unparalleled precision and reliability.
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.
