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.
Jelajahi Model Terkemuka
Atlas Cloud menyediakan model kreatif terdepan dan terbaru di industri untuk Anda.
Apa Yang Membuat Van Video Models Menonjol
Atlas Cloud menyediakan model kreatif terdepan di industri yang terbaru untuk Anda.
Inferensi Ultra Cepat
Didukung oleh algoritma flow matching yang sangat dioptimalkan, memberikan waktu respons sub-detik dan konkurensi tinggi dengan standar industri teratas.
Raja Performa-Harga
Mendefinisikan ulang nilai melalui restrukturisasi arsitektur komputasi, memangkas biaya per pembuatan hingga sebagian kecil dari pesaing sambil mempertahankan kualitas sinematik 1080p.
Penguasaan Gerakan Kompleks
Mengkhususkan diri dalam gerakan skala besar dan simulasi fisika, memastikan dinamika fluida dan koherensi yang sebanding dengan standar v2.6.
Arsitektur 3D VAE
Menggunakan pengkodean visual 3D VAE canggih untuk memastikan realisme tinggi dan konsistensi spasiotemporal dalam pencahayaan, tekstur, dan struktur.
Presisi Prompt Dwibahasa
Memiliki pemahaman dwibahasa yang unggul (Mandarin/Inggris), menangkap nuansa prompt yang halus secara akurat untuk visual "apa yang Anda pikirkan adalah apa yang Anda dapatkan".
Rasio aspek serbaguna
Mendukung rasio aspek apa pun secara bawaan, memungkinkan adaptasi tanpa penurunan kualitas untuk semua platform media sosial dan iklan utama dalam satu kali pembuatan.
Kecepatan puncak
Biaya terendah
| Modalitas | Deskripsi |
|---|---|
| Van-2.6 T2V API(Text To Video) | Van-2.6 T2V API memberdayakan pengembang untuk mengubah prompt teks menjadi video sinematik beresolusi sangat tinggi. Dengan memanfaatkan 3D VAE dan Flow Matching dengan distilasi komputasi, API ini menghasilkan konten yang lancar dan berfidelitas tinggi yang dioptimalkan untuk produksi film profesional, rendering frekuensi tinggi, dan alur kerja kreatif yang dapat diskalakan. |
| 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. |
Fitur baru Van Video Models + Showcase
Menggabungkan model canggih dengan platform berakselerasi GPU Atlas Cloud memberikan kecepatan, skalabilitas, dan kontrol kreatif tak tertandingi untuk pembuatan gambar dan video.
Kontrol Narasi Multi-Shot menggunakan 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.
Fidelitas Visual Resolusi Tinggi menggunakan Van Model API
Van Model API meningkatkan kerangka kerja Wan 2.5 dan 2.6 menjadi output resolusi tinggi yang menakjubkan dengan konsistensi konten mutlak. Dengan menyempurnakan tekstur 3D VAE sinematik dan kejernihan pixel-perfect, API ini menghadirkan kualitas video tingkat profesional yang melampaui tolok ukur asli. Ini adalah pilihan pasti untuk penceritaan premium, pemulihan detail yang tajam, dan produksi sinematik kelas atas.
Efisiensi Inferensi Ekstrem menggunakan Van Model API
Van Model API memanfaatkan distilasi komputasi (compute distillation) eksklusif untuk menghancurkan batasan "kualitas-biaya" dengan kecepatan inferensi yang sangat cepat. Dengan mengoptimalkan arsitektur Flow Matching, model ini memungkinkan pembuatan skala besar dengan biaya yang jauh lebih rendah daripada biaya operasional tradisional. Ini adalah solusi utama untuk alur kerja perusahaan frekuensi tinggi, penskalaan yang sadar anggaran, dan iterasi kreatif yang cepat.
Dinamika Sinematik Tanpa Batas menggunakan Van Model API
Van Model API menawarkan kebebasan berkreasi yang tak tertandingi dengan mengurangi batasan model sambil mempertahankan dinamika gerakan 3D VAE yang kompleks. Dengan memahami fisika fluida dan bahasa kamera yang rumit secara mendalam, API ini memungkinkan pengembang untuk membuat urutan sinematik tanpa batas dan berdampak tinggi. Ini adalah mesin utama untuk eksperimen visual inovatif, transisi adegan yang kompleks, dan ekspresi artistik yang mendobrak batas.
Yang Dapat Anda Lakukan dengan Van Video Models
Temukan kasus penggunaan praktis dan alur kerja yang dapat Anda bangun dengan keluarga model ini — dari pembuatan konten dan otomatisasi hingga aplikasi tingkat produksi.
Seni Generatif Tanpa Batas menggunakan Van API
Van API memberikan kebebasan mutlak bagi para kreator untuk membangun konten artistik dengan batasan model yang lebih sedikit dan resolusi output yang lebih tinggi. Dengan memanfaatkan fidelitas visual sinematik, API ini memfasilitasi pencampuran gerakan yang bertransisi dengan mulus melintasi lingkungan dan narasi bergaya. Ini cocok untuk produksi film eksperimental, instalasi seni, dan skenario yang membutuhkan ekspresi kreatif tingkat profesional tanpa batasan tradisional.
Pengarahan narasi profesional menggunakan Van API
Dirancang untuk penceritaan yang mendalam, Van API memungkinkan penutur cerita untuk menghasilkan urutan kompleks yang meniru penyuntingan profesional dengan berbagai sudut kamera dan transisi pengambilan gambar yang mulus dalam satu tugas pembuatan. Sempurna untuk menjaga konsistensi narasi yang sempurna di seluruh proyek, API ini menghasilkan konten cair yang dioptimalkan untuk penceritaan sinematik yang imersif dan produksi video format panjang yang berdampak tinggi.
Pembuatan Prototipe Pemasaran Cepat menggunakan Van API
Van-2.5 API menghancurkan batasan "kualitas-biaya" dengan menghadirkan konten fidelitas tinggi pada kecepatan inferensi ekstrem dengan biaya sangat rendah. Dibangun di atas distilasi komputasi eksklusif, ini memungkinkan iterasi kreatif yang cepat dan pembuatan skala besar. Ini adalah solusi definitif untuk penskalaan yang sadar anggaran, beragam aset pemasaran digital, dan alur kerja produksi frekuensi tinggi.
Perbandingan Model
Lihat bagaimana model dari berbagai penyedia dibandingkan — bandingkan performa, harga, dan keunggulan unik untuk membuat keputusan yang tepat.
| 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
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Mengapa Menggunakan Van Video Models di Atlas Cloud
Gabungkan model Van Video Models canggih dengan platform akselerasi GPU Atlas Cloud untuk performa, skalabilitas, dan pengalaman pengembangan yang tak tertandingi.
Performa & Fleksibilitas
Latensi Rendah:
Inferensi yang dioptimalkan GPU untuk respons real-time.
API Terpadu:
Satu integrasi untuk Van Video Models, GPT, Gemini, dan DeepSeek.
Harga Transparan:
Billing per token, mendukung mode Serverless.
Enterprise & Skala
Pengalaman Developer:
SDK, analitik data, alat fine-tuning, dan template tersedia lengkap.
Keandalan:
Ketersediaan 99.99%, kontrol izin RBAC, logging kepatuhan.
Keamanan & Kepatuhan:
Sertifikasi SOC 2 Type II, kepatuhan HIPAA, kedaulatan data AS.
Pertanyaan yang Sering Diajukan tentang Van Video Models
3D VAE (Variational Autoencoder) adalah teknologi kompresi spasial-temporal yang mengkodekan data video ke dalam ruang laten yang ringkas. Dengan memproses detail spasial dan gerakan temporal secara bersamaan, teknologi ini mempertahankan tekstur sinematik dan dinamika fluida sekaligus mengurangi overhead komputasi secara signifikan.
Flow Matching adalah kerangka kerja generatif mutakhir yang mendefinisikan jalur garis lurus yang berkelanjutan antara noise dan data. Dibandingkan dengan model difusi tradisional, kerangka kerja ini memungkinkan kontrol gerakan yang lebih presisi dan konvergensi yang lebih cepat, menghasilkan video berkualitas tinggi dengan logika fisik yang kompleks.
Meskipun dibangun di atas arsitektur Wan 2.5 dan 2.6, Van Model adalah seri unggulan yang dioptimalkan yang memberikan resolusi output yang jauh lebih tinggi dan kebebasan berkreasi yang lebih besar. Melalui distilasi eksklusif, Van juga menawarkan kecepatan inferensi yang jauh lebih cepat dan biaya operasional yang lebih rendah.
Van mengoptimalkan dekoder 3D VAE dan mengintegrasikan lapisan penyempurnaan high-fidelity selama proses distilasi komputasi. Hal ini memastikan bahwa meskipun gerakan inti dan logika tetap identik dengan model dasar, kejernihan visual dan kepadatan piksel ditingkatkan secara substansial.
Distilasi komputasi memadatkan pengetahuan model yang kompleks menjadi mesin inferensi yang sangat efisien. Hal ini memungkinkan Van menghasilkan video berkualitas tinggi menggunakan langkah pengambilan sampel yang lebih sedikit, menghancurkan hambatan "kualitas-biaya" dan memungkinkan produksi secepat kilat untuk alur kerja skala besar.
Jelajahi Lebih Banyak Seri
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.
