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.
Explore the Leading Van Video Models
Atlas Cloud provides you with the latest industry-leading creative models.
What Makes Van Video Models Stand Out
Atlas Cloud provides you with the latest industry-leading creative models.
Ultra-Fast Inference
Powered by deeply optimized flow matching algorithms, delivering sub-second response times and high concurrency to top industry standards.
Cost-Performance King
Redefines value via architectural compute restructuring, slashing per-generation costs to a fraction of competitors while maintaining 1080p cinematic quality.
Complex Motion Mastery
Specializes in large-scale movements and physics simulation, fluid dynamics and coherence.
3D VAE Architecture
Utilizes advanced 3D VAE visual encoding to ensure high realism and spatiotemporal consistency in lighting, texture, and structure.
Bilingual Prompt Precision
Features superior bilingual understanding (Chinese/English), accurately capturing subtle prompt nuances for "what you think is what you get" visuals.
Versatile Aspect Ratios
Natively supports any aspect ratio, enabling lossless adaptation for all major social media and ad platforms in a single generation.
Peak speed
Lowest cost
| Modality | Description |
|---|---|
| Van-2.6 T2V API(Text To Video) | The Van-2.6 T2V API empowers developers to transform text prompts into ultra-high-resolution cinematic videos. By leveraging 3D VAE and Flow Matching with compute distillation, it generates fluid, high-fidelity content optimized for professional film production, high-frequency rendering, and scalable creative workflows. |
| Van-2.6 I2V API(Image To Video) | The Van-2.6 I2V API empowers developers to animate static images into dynamic, high-resolution cinematic scenes. By preserving intricate visual details through advanced Flow Matching, it generates life-like motion and complex dynamics optimized for high-end visual effects, interactive media, and realistic character animation. |
| Van-2.5 I2V API(Image To Video) | The Van-2.5 I2V API empowers developers to breathe life into still images with cost-effective precision. By combining 3D VAE dynamics with ultra-low inference costs, it generates smooth and expressive motion sequences optimized for rapid prototyping, budget-conscious scaling, and diverse digital marketing assets. |
| Van-2.5 T2V API(Text To Video) | The Van-2.5 T2V API empowers developers to turn text descriptions into vivid cinematic clips at extreme speeds. By utilizing proprietary distillation techniques, it generates high-quality, low-cost video content optimized for massive-scale generation, rapid creative iteration, and high-frequency social media engagement. |
New features of Van 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.
Multi-Shot Narrative Control using Van-2.6 API
The Van-2.6 API empowers storytellers to generate complex video sequences that mimic professional cinematic editing within a single generation task. By orchestrating multiple camera angles and seamless shot transitions in a continuous flow, it maintains perfect narrative consistency while delivering dynamic visual perspectives. It is the ultimate solution for automated storyboarding, immersive cinematic storytelling, and high-impact long-form video production.
High-Resolution Visual Fidelity using Van Model API
The Van Model API elevates the Wan 2.5 and 2.6 frameworks into stunning high-resolution outputs with absolute content consistency. By refining cinematic 3D VAE textures and pixel-perfect clarity, it delivers professional-grade video quality that surpasses original benchmarks. It is the definitive choice for premium storytelling, sharp detail restoration, and high-end cinematic production.
Extreme Inference Efficiency using Van Model API
The Van Model API leverages proprietary compute distillation to shatter the "quality-to-cost" barrier with lightning-fast inference speeds. By optimizing the Flow Matching architecture, it enables massive-scale generation at a fraction of traditional operational costs. It is the ultimate solution for high-frequency enterprise workflows, budget-conscious scaling, and rapid creative iteration.
Unconstrained Cinematic Dynamics using Van Model API
The Van Model API offers unparalleled creative freedom by reducing model constraints while maintaining complex 3D VAE motion dynamics. By deeply understanding fluid physics and intricate camera language, it enables developers to craft unrestricted, high-impact cinematic sequences. It is the premier engine for innovative visual experimentation, complex scene transitions, and boundary-pushing artistic expression.
What You Can Do with Van Video Models
Discover practical use cases and workflows you can build with this model family — from content creation and automation to production-grade applications.
Unrestricted Generative Art using Van API
The Van API grants creators absolute freedom to build artistic content with fewer model constraints and higher output resolutions. By leveraging cinematic visual fidelity, it facilitates complex motion blending that seamlessly transitions across environments and stylized narratives. This fits experimental film production, art installations, and scenarios requiring professional-grade creative expression without traditional limitations.
Professional Narrative Directing using Van API
Designed for profound storytelling, the Van API enables storytellers to generate complex sequences that mimic professional editing with multiple camera angles and seamless shot transitions in a single generation task. Perfect for maintaining perfect narrative consistency across entire projects, it generates fluid content optimized for immersive cinematic storytelling and high-impact long-form video production.
Rapid Marketing Prototyping using Van API
The Van-2.5 API shatters the "quality-to-cost" barrier by delivering high-fidelity content at extreme inference speeds with ultra-low costs. Built on proprietary compute distillation, it enables rapid creative iteration and massive-scale generation. It is the definitive solution for budget-conscious scaling, diverse digital marketing assets, and high-frequency production workflows.
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 |
|---|---|---|---|---|
| Van 2.6 | Text, Image, Audio | 5s; 10s; 15s | 1080P | √ |
| Van 2.5 | Text, Image, Audio | 5s; 10s | 1080P, 720P | × |
| Wan 2.6 | Text, Image, Video, Audio | 5s; 10s; 15s | 1080P, 720P | √ |
| Seedance 2.0 | Text, Image, Video, Audio | 5s;10s | 2k, 1080P, 720P, 480P | √ |
| Kling 3.0 | Text, Image, Video | 3-15s | 720P | √ |
| Veo 3.1 | Text, Image | 4s; 6s; 8s | 1080P, 720P | √ |
How to Use Van Video Models on Atlas Cloud
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Create an Atlas Cloud Account
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Why Use Van Video Models on Atlas Cloud
Combining the advanced Van 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 Van 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 Van Video Models
3D VAE (Variational Autoencoder) is a spatial-temporal compression technology that encodes video data into a compact latent space. By processing spatial details and temporal motion simultaneously, it preserves cinematic textures and fluid dynamics while significantly reducing computational overhead.
Flow Matching is a state-of-the-art generative framework that defines a continuous, straight-line path between noise and data. Compared to traditional diffusion models, it enables more precise motion control and faster convergence, resulting in high-fidelity video with complex physical logic.
While built on the Wan 2.5 and 2.6 architectures, Van Model is an optimized flagship series that delivers significantly higher output resolutions and greater creative freedom. Through proprietary distillation, Van also offers drastically faster inference speeds and lower operational costs.
Van optimizes the 3D VAE decoder and integrates high-fidelity refinement layers during the compute distillation process. This ensures that while the core movement and logic remain identical to the base model, the visual clarity and pixel density are substantially enhanced.
Compute distillation compresses complex model knowledge into a highly efficient inference engine. This allows Van to generate high-quality video using fewer sampling steps, shattering the "quality-to-cost" barrier and enabling lightning-fast production for large-scale workflows.
Explore More Families
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.
Grok-Imagine Models
Grok Imagine Image Quality is xAI's latest AI image generation model, delivering studio-grade visuals with up to 2K resolution and razor-sharp detail. It offers best-in-class text rendering across multiple languages, photorealistic outputs with natural lighting, rich textures, and believable physics, plus tighter prompt following and image editing with reference inputs for precise creative control. Ideal for hero images, ad creatives, product renders, and brand-grade visuals.
Gemini Omni
Gemini Omni (by Google DeepMind) is a video generation and editing model launched on May 20, 2026 at Google I/O that redefines the standard for "reasoning-driven creation," built specifically to solve the core challenge of AI video: making output that actually understands what you mean, not just what you type. It fuses Gemini's reasoning engine with generative capability, accepting any mix of images, text, video, and audio to produce consistent, knowledge-grounded output. Unlike models that start from scratch each time, Omni lets you edit through natural conversation — swapping objects, rewriting scenes, shifting styles — while keeping physics, characters, and continuity intact across every turn.
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.
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.
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.
