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.
探索領先模型
Atlas Cloud 為您提供最新的行業領先創意模型。
Van Video Models 的核心亮點
Atlas Cloud 為您提供業界領先的最新創意模型。
極速推理
基於深度優化的流匹配演算法，實現亞秒級回應速度與達到業界頂尖標準的高併發處理能力。
性價比之王
透過架構運算重組重新定義價值，將單次生成成本大幅降低至競爭對手的一小部分，同時維持 1080p 電影級畫質。
複雜動作掌控
專注於大規模運動和物理模擬，確保流體動力學和連貫性媲美 v2.6 標準。
3D VAE 架構
利用先進的 3D VAE 視覺編碼，確保在光影、紋理和結構方面具有高逼真度與時空一致性。
雙語提示詞精準度
具備卓越的中英雙語理解能力，精準捕捉提示詞（Prompt）的細微差別，實現「所想即所得」的視覺效果。
多樣的畫面比例
原生支援任意長寬比，單次生成即可實現針對所有主流社群媒體和廣告平台的無損適配。
峰值速度
最低成本
| 模態 | 描述 |
|---|---|
| Van-2.6 T2V API(Text To Video) | Van-2.6 T2V API 賦能開發者將文字提示詞轉換為超高解析度的電影級影片。透過利用 3D VAE 和結合運算蒸餾的 Flow Matching 技術，它能生成流暢、高保真的內容，專為專業電影製作、高頻渲染和可擴展的創意工作流程而優化。 |
| 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
將先進模型與 Atlas Cloud 的 GPU 加速平台相結合，為圖像和視頻生成提供無與倫比的速度、可擴展性和創意控制。
使用 Van-2.6 API 進行多樣本敘事控制
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 實現高解析度視覺保真度
Van Model API 將 Wan 2.5 和 2.6 框架提升至令人驚嘆的高解析度輸出，並保持絕對的內容一致性。透過優化電影級 3D VAE 紋理和像素級清晰度，它提供了超越原始基準的專業級影片品質。它是優質敘事、清晰細節還原和高階電影製作的最佳選擇。
使用 Van Model API 實現極致推理效率
Van Model API 利用專有的計算蒸餾技術，以極快的推理速度打破了「品質-成本」壁壘。透過優化 Flow Matching 架構，它能以僅為傳統營運成本一小部分的代價實現大規模生成。這是高頻企業工作流程、預算敏感型擴展和快速創意迭代的終極解決方案。
透過 Van Model API 實現無約束電影級動態
Van Model API 透過減少模型約束並保持複雜的 3D VAE 運動動態，提供了無與倫比的創作自由。藉由深入理解流體物理學和複雜的鏡頭語言，它使開發者能夠製作不受限制、極具衝擊力的電影級序列。它是進行創新視覺實驗、複雜場景轉換和突破界限的藝術表達的首選引擎。
使用 Van Video Models 可以做什麼
探索使用該模型家族可以構建的實際應用場景和工作流 — 從內容創作、自動化到生產級應用。
使用 Van API 創作無限制的生成式藝術
Van API 賦予創作者絕對的自由，能夠以更少的模型約束和更高的輸出解析度構建藝術內容。透過利用電影級的視覺保真度，它促進了複雜的動作融合，可在不同環境和風格化敘事之間實現無縫過渡。這適用於實驗電影製作、藝術裝置以及需要不受傳統限制的專業級創意表達的場景。
使用 Van API 進行專業敘事編導
Van API 專為深度敘事設計，讓創作者能夠在單次生成任務中，產出模仿專業剪輯的複雜序列，包含多種運鏡角度與無縫鏡頭轉換。非常適合在整個專案中維持完美的敘事一致性，它能生成優化過的流暢內容，適用於沉浸式電影敘事與具高影響力的長篇影片製作。
使用 Van API 進行快速行銷原型設計
Van-2.5 API 打破了「性價比」的限制，以極低的成本和極快的推論速度提供高保真內容。基於專有的運算蒸餾技術構建，它實現了快速的創意迭代和大規模生成。它是預算考量型擴展、多樣化數位行銷資產和高頻生產工作流程的最終解決方案。
模型對比
查看不同廠商的模型表現 — 對比效能、價格和獨特優勢，做出明智決策。
| 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
幾分鐘即可上手 — 按照以下簡單步驟，透過 Atlas Cloud 平台整合和部署模型。
建立 Atlas Cloud 帳戶
在 atlascloud.ai 註冊並完成驗證。新用戶可獲得免費額度，用於探索平台和測試模型。
為何在 Atlas Cloud 使用 Van Video Models
將先進的 Van Video Models 模型與 Atlas Cloud 的 GPU 加速平台相結合，提供無與倫比的效能、可擴展性和開發體驗。
效能與靈活性
低延遲：
GPU 最佳化推理，實現即時回應。
統一 API：
一次整合，暢用 Van Video Models、GPT、Gemini 和 DeepSeek。
透明定價：
按 Token 計費，支援 Serverless 模式。
企業與規模
開發者體驗：
SDK、資料分析、微調工具和模板一應俱全。
可靠性：
99.99% 可用性、RBAC 權限控制、合規日誌。
安全與合規：
SOC 2 Type II 認證、HIPAA 合規、美國資料主權。
關於 Van Video Models 的常見問題
3D VAE（變分自編碼器）是一種時空壓縮技術，將影片數據編碼為緊湊的潛在空間。藉由同時處理空間細節與時間運動，它在保留電影級紋理和流暢動態的同時，顯著降低了計算開銷。
Flow Matching 是一種最先進的生成框架，它定義了雜訊與資料之間的連續直線路徑。與傳統擴散模型相比，它實現了更精確的動作控制和更快的收斂速度，從而生成具有複雜物理邏輯的高保真影片。
雖然基於 Wan 2.5 和 2.6 架構，Van Model 是一個經過優化的旗艦系列，提供顯著更高的輸出解析度和更大的創作自由度。透過專有的蒸餾技術，Van 還提供了大幅提升的推理速度和更低的營運成本。
Van 優化了 3D VAE 解碼器，並在計算蒸餾過程中整合了高保真細化層。這確保了雖然核心動作和邏輯與基礎模型保持一致，但視覺清晰度和像素密度得到了顯著增強。
運算蒸餾將複雜的模型知識壓縮成高效的推論引擎。這使得 Van 能夠使用更少的採樣步驟生成高品質影片，打破「品質成本」壁壘，為大規模工作流程實現極速生產。
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.
