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.
探索领先模型
Atlas Cloud 为您提供最新的行业领先创意模型。
Van Video Models 的核心亮点
Atlas Cloud 为您提供业界领先的最新创意模型。
极速推理
基于深度优化的流匹配算法，实现亚秒级响应速度和达到行业顶尖标准的高并发处理能力。
性价比之王
通过架构计算重组重新定义价值，将单次生成成本大幅降低至竞争对手的一小部分，同时保持 1080p 电影级画质。
复杂动作掌控
专注于大规模运动和物理模拟，确保流体动力学和连贯性媲美 v2.6 标准。
3D VAE 架构
利用先进的 3D VAE 视觉编码，确保光影、纹理和结构方面的高逼真度与时空一致性。
双语提示词精准度
具备卓越的中英双语理解能力，精准捕捉提示词（Prompt）的细微差别，实现“所想即所得”的视觉效果。
多样的纵横比
原生支持任意纵横比，单次生成即可实现针对所有主流社交媒体和广告平台的无损适配。
峰值速度
最低成本
| 模态 | 描述 |
|---|---|
| Van-2.6 T2V API(Text To Video) | Van-2.6 T2V API 赋能开发者将文本提示词转换为超高分辨率的电影级视频。通过利用 3D VAE 和结合计算蒸馏的 Flow Matching 技术，它能生成流畅、高保真的内容，专为专业电影制作、高频渲染和可扩展的创意工作流而优化。 |
| 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. |
Van Video Models 新功能 + 展示
将先进模型与 Atlas Cloud 的 GPU 加速平台相结合，为图像和视频生成提供无与伦比的速度、可扩展性和创意控制。
使用 Van-2.6 API 进行多样本叙事控制
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.
使用 Van Model API 实现高分辨率视觉保真度
Van Model API 将 Wan 2.5 和 2.6 框架提升至令人惊叹的高分辨率输出，并保持绝对的内容一致性。通过优化电影级 3D VAE 纹理和像素级清晰度，它提供了超越原始基准的专业级视频质量。它是高端叙事、锐利细节修复和高端电影制作的最终选择。
使用 Van Model API 实现极致推理效率
Van Model API 利用专有的计算蒸馏技术，以极快的推理速度打破了“质量-成本”壁垒。通过优化 Flow Matching 架构，它能以仅为传统运营成本一小部分的代价实现大规模生成。这是高频企业工作流、预算敏感型扩展和快速创意迭代的终极解决方案。
基于 Van Model API 的无约束电影级动态
Van Model API 通过减少模型约束同时保持复杂的 3D VAE 运动动态，提供了无与伦比的创作自由。通过深入理解流体物理学和复杂的镜头语言，它使开发者能够制作不受限制、极具冲击力的电影级序列。它是进行创新视觉实验、复杂场景转换和突破界限的艺术表达的首选引擎。
使用 Van Video Models 可以做什么
探索使用该模型家族可以构建的实际应用场景和工作流 — 从内容创作、自动化到生产级应用。
使用 Van API 创作无限制的生成式艺术
Van API 赋予创作者绝对的自由，能够以更少的模型约束和更高的输出分辨率构建艺术内容。通过利用电影级的视觉保真度，它促进了复杂的动作融合，可在不同环境和风格化叙事之间实现无缝过渡。这适用于实验电影制作、艺术装置以及需要不受传统限制的专业级创意表达的场景。
使用 Van API 进行专业叙事编导
Van API 专为深度叙事设计，使创作者能够在单次生成任务中，产出模仿专业剪辑的复杂序列，包含多样的运镜角度与无缝的镜头转换。它非常适合在整个项目中保持完美的叙事一致性，生成的流畅内容专为沉浸式电影叙事和高影响力的长视频制作而优化。
使用 Van API 进行快速营销原型设计
Van-2.5 API 打破了“质价比”壁垒，以极低的成本和极快的推理速度提供高保真内容。基于专有的计算蒸馏技术构建，它实现了快速的创意迭代和大规模生成。它是预算敏感型扩展、多样化数字营销资产和高频生产工作流的终极解决方案。
模型对比
查看不同厂商的模型表现 — 对比性能、价格和独特优势，做出明智决策。
| 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 | √ |
如何在 Atlas Cloud 上使用 Van Video Models
几分钟即可上手 — 按照以下简单步骤，通过 Atlas Cloud 平台集成和部署模型。
创建 Atlas Cloud 账户
在 atlascloud.ai 注册并完成验证。新用户可获得免费额度，用于探索平台和测试模型。
为何在 Atlas Cloud 使用 Van Video Models
将先进的 Van Video Models 模型与 Atlas Cloud 的 GPU 加速平台相结合，提供无与伦比的性能、可扩展性和开发体验。
性能与灵活性
低延迟：
GPU 优化推理，实现实时响应。
统一 API：
一次集成，畅用 Van Video Models、GPT、Gemini 和 DeepSeek。
透明定价：
按 Token 计费，支持 Serverless 模式。
企业与规模
开发者体验：
SDK、数据分析、微调工具和模板一应俱全。
可靠性：
99.99% 可用性、RBAC 权限控制、合规日志。
安全与合规：
SOC 2 Type II 认证、HIPAA 合规、美国数据主权。
关于 Van Video Models 的常见问题
3D VAE（变分自编码器）是一种时空压缩技术，可将视频数据编码为紧凑的潜在空间。通过同时处理空间细节和时间运动，它在保留电影级纹理和流畅动态的同时，显著降低了计算开销。
Flow Matching 是一种最先进的生成框架，它定义了噪声与数据之间的连续直线路径。与传统扩散模型相比，它实现了更精确的运动控制和更快的收敛速度，从而生成具有复杂物理逻辑的高保真视频。
虽然基于 Wan 2.5 和 2.6 架构，Van Model 是一个经过优化的旗舰系列，提供显著更高的输出分辨率和更大的创作自由度。通过专有的蒸馏技术，Van 还提供了大幅提升的推理速度和更低的运营成本。
Van 优化了 3D VAE 解码器，并在计算蒸馏过程中集成了高保真细化层。这确保了虽然核心运动和逻辑与基础模型保持一致，但视觉清晰度和像素密度得到了显著增强。
计算蒸馏将复杂的模型知识压缩成高效的推理引擎。这使得 Van 能够使用更少的采样步骤生成高质量视频，打破“质量成本”壁垒，为大规模工作流实现极速生产。
探索更多系列
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.
