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.
Explore the Leading Seedance 2.0 Models
Atlas Cloud provides you with the latest industry-leading creative models.
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 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 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 | 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 Models on Atlas Cloud
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Why Use Seedance 2.0 Models on Atlas Cloud
Combining the advanced Seedance 2.0 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 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 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
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.
