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 ti fornisce i più recenti modelli creativi leader del settore.
Cosa Rende Speciale Van Video Models
Atlas Cloud ti fornisce i più recenti modelli creativi leader del settore.
Inferenza ultra-veloce
Basato su algoritmi di flow matching profondamente ottimizzati, offre tempi di risposta inferiori al secondo e un'elevata concorrenza ai massimi standard del settore.
Re del rapporto qualità-prezzo
Ridefinisce il valore attraverso la ristrutturazione dell'architettura di calcolo, riducendo drasticamente i costi per generazione a una frazione di quelli dei concorrenti pur mantenendo una qualità cinematografica a 1080p.
Padronanza del Movimento Complesso
Specializzato in movimenti su larga scala e simulazione fisica, garantendo dinamica dei fluidi e coerenza paragonabili agli standard v2.6.
Architettura VAE 3D
Utilizza una codifica visiva 3D VAE avanzata per garantire un elevato realismo e coerenza spaziotemporale nell'illuminazione, nella texture e nella struttura.
Precisione dei prompt bilingui
Offre una comprensione bilingue superiore (cinese/inglese), catturando accuratamente le sottili sfumature dei prompt per visuali "quello che pensi è quello che ottieni".
Rapporti d'aspetto versatili
Supporta nativamente qualsiasi rapporto d'aspetto, consentendo un adattamento senza perdite per i principali social media e piattaforme pubblicitarie in un'unica generazione.
Velocità di punta
Costo più basso
| Modalità | Descrizione |
|---|---|
| Van-2.6 T2V API(Text To Video) | L'API Van-2.6 T2V consente agli sviluppatori di trasformare i prompt di testo in video cinematografici ad altissima risoluzione. Sfruttando 3D VAE e Flow Matching con distillazione computazionale, genera contenuti fluidi e ad alta fedeltà ottimizzati per la produzione cinematografica professionale, il rendering ad alta frequenza e i flussi di lavoro creativi scalabili. |
| 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. |
Nuove funzionalità di Van Video Models + Showcase
La combinazione di modelli avanzati con la piattaforma accelerata da GPU di Atlas Cloud offre velocità, scalabilità e controllo creativo senza pari per la generazione di immagini e video.
Controllo narrativo Multi-Shot utilizzando l'API Van-2.6
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.
Fedeltà visiva ad alta risoluzione utilizzando Van Model API
La Van Model API eleva i framework Wan 2.5 e 2.6 a straordinari output ad alta risoluzione con assoluta coerenza dei contenuti. Raffinando le texture cinematografiche 3D VAE e la chiarezza pixel-perfect, offre una qualità video di livello professionale che supera i benchmark originali. È la scelta definitiva per lo storytelling premium, il ripristino di dettagli nitidi e la produzione cinematografica di fascia alta.
Efficienza di inferenza estrema con l'API Van Model
La Van Model API sfrutta una distillazione di calcolo proprietaria per infrangere la barriera "qualità-costo" con velocità di inferenza fulminee. Ottimizzando l'architettura Flow Matching, consente una generazione su vasta scala a una frazione dei costi operativi tradizionali. È la soluzione definitiva per flussi di lavoro aziendali ad alta frequenza, scalabilità attenta al budget e iterazione creativa rapida.
Dinamiche cinematografiche illimitate utilizzando Van Model API
La Van Model API offre una libertà creativa senza pari riducendo i vincoli del modello pur mantenendo complesse dinamiche di movimento 3D VAE. Grazie a una profonda comprensione della fisica dei fluidi e dell'intricato linguaggio della macchina da presa, consente agli sviluppatori di creare sequenze cinematografiche illimitate e di grande impatto. È il motore principale per la sperimentazione visiva innovativa, le transizioni di scena complesse e l'espressione artistica d'avanguardia.
Cosa Puoi Fare con Van Video Models
Scopri casi d'uso pratici e workflow che puoi costruire con questa famiglia di modelli — dalla creazione di contenuti e automazione alle applicazioni di livello produzione.
Arte generativa senza restrizioni utilizzando Van API
La Van API garantisce ai creatori assoluta libertà di costruire contenuti artistici con minori vincoli di modello e risoluzioni di output più elevate. Sfruttando la fedeltà visiva cinematografica, facilita una complessa miscelazione del movimento che transita senza soluzione di continuità attraverso ambienti e narrazioni stilizzate. Questo si adatta alla produzione di film sperimentali, installazioni artistiche e scenari che richiedono un'espressione creativa di livello professionale senza le limitazioni tradizionali.
Regia narrativa professionale con Van API
Progettata per una narrazione profonda, la Van API consente ai narratori di generare sequenze complesse che imitano il montaggio professionale con molteplici angolazioni della telecamera e transizioni fluide tra le inquadrature in un'unica attività di generazione. Perfetta per mantenere una coerenza narrativa impeccabile in interi progetti, genera contenuti fluidi ottimizzati per una narrazione cinematografica immersiva e una produzione video di lunga durata ad alto impatto.
Prototipazione rapida di marketing con Van API
L'API Van-2.5 infrange la barriera "qualità-costo" offrendo contenuti ad alta fedeltà a velocità di inferenza estreme con costi ultra-bassi. Basata su una distillazione computazionale proprietaria, consente una rapida iterazione creativa e una generazione su vasta scala. È la soluzione definitiva per la scalabilità attenta al budget, diversi asset di marketing digitale e flussi di lavoro di produzione ad alta frequenza.
Confronto Modelli
Scopri come si confrontano i modelli di diversi provider — confronta prestazioni, prezzi e punti di forza unici per una decisione informata.
| 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
Get started in minutes — follow these simple steps to integrate and deploy models through Atlas Cloud’s platform.
Create an Atlas Cloud Account
Sign up at atlascloud.ai and complete verification. New users receive free credits to explore the platform and test models.
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.
Domande Frequenti su Van Video Models
Il 3D VAE (Autoencoder Variazionale) è una tecnologia di compressione spazio-temporale che codifica i dati video in uno spazio latente compatto. Elaborando contemporaneamente i dettagli spaziali e il movimento temporale, preserva le texture cinematografiche e le dinamiche fluide, riducendo significativamente l'overhead computazionale.
Flow Matching è un framework generativo all'avanguardia che definisce un percorso continuo e rettilineo tra rumore e dati. Rispetto ai modelli di diffusione tradizionali, consente un controllo del movimento più preciso e una convergenza più rapida, producendo video ad alta fedeltà con logica fisica complessa.
Sebbene basato sulle architetture Wan 2.5 e 2.6, Van Model è una serie di punta ottimizzata che offre risoluzioni di output significativamente più elevate e una maggiore libertà creativa. Attraverso una distillazione proprietaria, Van offre anche velocità di inferenza drasticamente più rapide e costi operativi inferiori.
Van ottimizza il decoder 3D VAE e integra livelli di perfezionamento ad alta fedeltà durante il processo di distillazione computazionale. Ciò garantisce che, mentre il movimento centrale e la logica rimangono identici al modello base, la chiarezza visiva e la densità dei pixel siano sostanzialmente migliorate.
La distillazione computazionale comprime la conoscenza di modelli complessi in un motore di inferenza altamente efficiente. Ciò consente a Van di generare video di alta qualità utilizzando meno passaggi di campionamento, infrangendo la barriera "qualità-costo" e abilitando una produzione velocissima per flussi di lavoro su larga scala.
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.
