Veo3.1 Video 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.
अग्रणी मॉडल एक्सप्लोर करें
Atlas Cloud आपको उद्योग में अग्रणी नवीनतम रचनात्मक मॉडल प्रदान करता है।
Veo3.1 Video Models को क्या खास बनाता है
Atlas Cloud आपको उद्योग-अग्रणी नवीनतम रचनात्मक मॉडल प्रदान करता है।
सिनेमैटिक दृश्य गुणवत्ता
व्यावसायिक आउटपुट के लिए विभिन्न एस्पेक्ट रेश्यो (aspect ratios) के साथ हाई-फिडेलिटी वीडियो उत्पन्न करता है।
दृश्य एकरूपता
विभिन्न शॉट्स में चरित्र और वस्तु की पहचान बनाए रखें।
सटीक निर्देशकीय नियंत्रण
दृश्य संक्रमण और कथा प्रवाह को सटीक रूप से परिभाषित करने के लिए "पहले और अंतिम फ्रेम" इनपुट को सक्षम करता है।
नेटिव ऑडियो जनरेशन
वीडियो निर्माण प्रक्रिया के भीतर सीधे भाषण और ध्वनि प्रभावों सहित सिंक्रनाइज़, उच्च-गुणवत्ता वाला ऑडियो तैयार करता है।
चरम गति
सबसे कम लागत
| Modality | Description |
|---|---|
| Veo 3.1 T2V API(Text To Video) | Veo 3.1 T2V API empowers developers to convert complex text prompts into high-fidelity, cinematic video sequences with unprecedented narrative control. It generates realistic, audio-synced content that bridges the gap between creative scripts and professional-grade visual storytelling. |
| Veo 3.1 I2V API(Image To Video) | The Veo 3.1 I2V API brings static imagery to life by utilizing an uploaded image as the definitive first frame, with the optional capability to incorporate a secondary image as the target end frame. This precision-driven approach ensures seamless temporal transitions and visual consistency, making it ideal for high-end animation and precise keyframe-based production. |
| Veo 3.1 R2V API(Image To Video) | Veo 3.1 R2V API uses reference images to guide the visual elements, characters, and overall aesthetic of the generated video. Rather than serving as a literal starting point, the reference image acts as a creative blueprint, ensuring that the output maintains brand identity and artistic cohesion across diverse scenes. |
| Veo 3.1 Fast T2V API(Text To Video) | Veo 3.1 Fast T2V API(Text To Video) optimizes the text-to-video workflow to deliver rapid generation speeds without compromising core cinematic quality. Engineered for low-latency performance, it is the perfect solution for real-time creative brainstorming, agile marketing iterations, and interactive digital experiences that require near-instant visual output. |
| Veo 3.1 Fast I2V API(Image To Video) | Veo 3.1 Fast I2V API combines rapid processing power with image-driven motion synthesis, transforming a starting visual asset into a dynamic video clip in seconds. It provides a high-speed pathway for developers to animate static content for social media and rapid prototyping, maintaining high temporal accuracy and visual fidelity throughout the accelerated generation process. |
Veo3.1 Video Models की नई सुविधाएँ + शोकेस
उन्नत मॉडलों को Atlas Cloud के GPU-त्वरित प्लेटफ़ॉर्म के साथ जोड़कर छवि और वीडियो निर्माण के लिए बेजोड़ गति, स्केलेबिलिटी और रचनात्मक नियंत्रण प्रदान करता है।
FLUX.2 API का उपयोग करके उन्नत टेक्सचरल निष्ठा और यथार्थवादी प्रकाश व्यवस्था
FLUX.2 मॉडल अपने 32-बिलियन पैरामीटर आर्किटेक्चर का लाभ उठाते हुए सभी विज़ुअल आउटपुट में अधिक स्पष्ट टेक्सचर और स्थिर लाइटिंग प्रदान करता है। लेटेंट स्पेस (latent space) में प्रकाश-पदार्थ की अंतःक्रिया को अनुकूलित करके, उपयोगकर्ता हाई-एंड उत्पाद विज़ुअलाइज़ेशन और पेशेवर फोटोग्राफी के लिए फोटोरिअलिस्टिक परिणाम प्राप्त कर सकते हैं। यह हाइपर-रियलिस्टिक रेंडरिंग, सामग्री की स्थिरता और स्टूडियो-ग्रेड डिजिटल एसेट्स के लिए अंतिम समाधान है।
FLUX.2 API का उपयोग करके उन्नत टाइपोग्राफी और ग्राफिक रेंडरिंग
FLUX.2 जटिल टाइपोग्राफिक लेआउट और विस्तृत UI सिमुलेशन का समर्थन करता है, यह सुनिश्चित करता है कि सूक्ष्म पाठ (micro-text) भी स्पष्ट और सुपाठ्य बना रहे। परिष्कृत वर्ण-स्तरीय एन्कोडिंग को एकीकृत करके, उपयोगकर्ता इन्फोग्राफिक्स, मीम्स और ब्रांडेड सामग्री को बिना किसी वर्ण विरूपण के सटीक रूप से रेंडर कर सकते हैं। यह पेशेवर ग्राफिक डिजाइन, इंटरफ़ेस प्रोटोटाइपिंग और टेक्स्ट-प्रधान रचनात्मक रचनाओं के लिए अंतिम समाधान है।
FLUX.2 API का उपयोग करके संरचित प्रॉम्प्ट समझ और संरचनात्मक नियंत्रण
FLUX.2 इंजन उच्च निष्ठा के साथ बहु-अनुच्छेद प्रॉम्प्ट्स (prompts) और जटिल स्थानिक बाधाओं की व्याख्या करने के लिए श्रेष्ठ तर्क प्रदान करता है। सूक्ष्म संबंधपरक निर्देशों को डिकोड करके, उपयोगकर्ता सटीक रूप से बहु-विषयक दृश्यों को व्यवस्थित कर सकते हैं और संरचनात्मक इरादे का सख्ती से पालन कर सकते हैं। यह परिष्कृत कहानी कहने, स्तरित डिजिटल कला और सटीकता-संचालित दृश्य आख्यानों के लिए अंतिम समाधान है।
Veo3.1 Video Models से आप क्या कर सकते हैं
इस मॉडल फ़ैमिली के साथ बनाए जा सकने वाले व्यावहारिक उपयोग और वर्कफ़्लो खोजें — कंटेंट निर्माण और ऑटोमेशन से लेकर प्रोडक्शन-ग्रेड एप्लिकेशन तक।
FLUX.2 API के साथ फोटोरियलिस्टिक हाई-फिडेलिटी रेंडरिंग
FLUX.2 मॉडल क्रिएटर्स और डेवलपर्स को अति-यथार्थवादी विज़ुअल सामग्री बनाने में सक्षम बनाता है जो जीवंत बनावट, स्थिर प्रकाश व्यवस्था और भौतिक सटीकता को बनाए रखता है। पेशेवर उत्पाद फोटोग्राफी और वास्तुशिल्प विज़ुअलाइज़ेशन के लिए आदर्श, 32B पैरामीटर आर्किटेक्चर सतह के प्रतिबिंबों और सामग्री की गहराई को सुनिश्चित करता है—जो हाई-एंड मार्केटिंग एसेट्स, लक्जरी ब्रांड मॉकअप और स्टूडियो-ग्रेड डिजिटल फोटोग्राफी का समर्थन करता है।
FLUX.2 API का उपयोग करके सटीक टाइपोग्राफिक डिज़ाइन और लेआउट
The Veo 3.1 API integrates state-of-the-art generative audio technology to produce high-fidelity, natively synced soundscapes for every clip. By analyzing visual motion and environmental context, it automatically crafts immersive Foley, atmospheric textures, and rhythmic scores that align perfectly with the on-screen action. This provides a turnkey solution for professional-grade audio-visual harmony, eliminating the need for manual post-production.
तार्किक दृश्य रचना और 4MP हाई-रेस संपादन
FLUX.2 संरचित, बहु-भाग वाले प्रॉम्प्ट्स (prompts) की अद्वितीय व्याख्या प्रदान करता है, जिससे परिष्कृत बहु-विषय दृश्य और जटिल स्थानिक व्यवस्था संभव होती है। 4 मिलियन पिक्सेल तक उच्च-रिज़ॉल्यूशन संपादन के समर्थन के साथ, यह API निर्बाध इमेज-टू-इमेज (image-to-image) रूपांतरण और सटीक स्थानीय समायोजन की सुविधा देता है—यह उन पेशेवर डिजिटल कलाकारों और दूरदर्शी लोगों के लिए एक कुशल, वन-स्टॉप समाधान है जो बड़े पैमाने पर रचनात्मक परियोजनाओं में तार्किक स्थिरता की मांग करते हैं।
मॉडल तुलना
विभिन्न प्रदाताओं के मॉडलों की तुलना देखें — प्रदर्शन, मूल्य निर्धारण और अनूठी ताकतों की तुलना करके सूचित निर्णय लें।
| Model | Input Types | Output Duration | Resolution | Audio Generation |
|---|---|---|---|---|
| Veo 3.1 | Text, Image | 4s; 6s; 8s | 1080P, 720P | √ |
| Seedance 2.0 | Text, Image, Video, Audio | 5s; 10s | 2K, 1080P, 720P, 480P | √ |
| Kling 3.0 | Text, Image, Video | 3~15s | 720P | √ |
| Wan 2.6 | Text, Image, Video | 5s; 10s; 15s | 1080P, 720P | √ |
How to Use Veo3.1 Video Models on Atlas Cloud
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Atlas Cloud पर Veo3.1 Video Models का उपयोग क्यों करें
बेजोड़ प्रदर्शन, स्केलेबिलिटी और विकास अनुभव के लिए उन्नत Veo3.1 Video Models मॉडल को Atlas Cloud के GPU त्वरण प्लेटफ़ॉर्म के साथ संयोजित करें।
प्रदर्शन और लचीलापन
कम विलंबता:
रियल-टाइम प्रतिक्रिया के लिए GPU-अनुकूलित इंफरेंसिंग।
एकीकृत API:
Veo3.1 Video Models, GPT, Gemini और DeepSeek के लिए एक इंटीग्रेशन।
पारदर्शी मूल्य निर्धारण:
प्रति token बिलिंग, Serverless मोड का समर्थन।
एंटरप्राइज और स्केल
डेवलपर अनुभव:
SDK, डेटा एनालिटिक्स, फाइन-ट्यूनिंग टूल और टेम्पलेट पूरी तरह से उपलब्ध हैं।
विश्वसनीयता:
99.99% उपलब्धता, RBAC अनुमति नियंत्रण, अनुपालन लॉगिंग।
सुरक्षा और अनुपालन:
SOC 2 Type II प्रमाणन, HIPAA अनुपालन, US डेटा संप्रभुता।
Veo3.1 Video Models के बारे में अक्सर पूछे जाने वाले प्रश्न
यह छवि निर्माण, स्थानीय संपादन और बहु-छवि संरचना को एकीकृत करता है। FLUX.2 अपने पूर्ववर्ती की तुलना में 30%-50% तेज है और मूल रूप से 4MP उच्च-रिज़ॉल्यूशन आउटपुट का समर्थन करता है, जो भौतिक तर्क, प्रकाश व्यवस्था और बनावट में फोटोरिलिस्टिक उत्कृष्टता प्राप्त करता है।
FLUX.2 जटिल दृश्यों में भी स्पष्ट और सटीक टेक्स्ट रेंडर करता है, तथा लंबे अनुच्छेदों और माइक्रो-फॉन्ट्स का समर्थन करता है। Mistral-3 24B विज़न-लैंग्वेज मॉडल को एकीकृत करके, यह इन्फोग्राफिक्स, UI मॉकअप और टेक्स्ट-बहुल ब्रांड एसेट्स में उत्कृष्टता प्राप्त करता है।
FLUX.2 को Black Forest Labs (BFL) द्वारा विकसित किया गया है, जिसकी स्थापना Stable Diffusion (SDXL) के मूल निर्माताओं ने की थी। टीम ने Latent Diffusion तकनीक की शुरुआत की और अब 32B पैरामीटर वाले Rectified Flow आर्किटेक्चर के माध्यम से विजुअल इंटेलिजेंस को फिर से परिभाषित किया है।
अधिक सीरीज़ एक्सप्लोर करें
Promote Models (Qwen)
Wan 2.7 Video 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.
Nano Banana 2 Image 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.
Seedream 5.0 Image 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.
Seedance 2.0 Video 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.
Kling 3.0 Video 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.
Vidu Video Models
Vidu, a joint innovation by Shengshu AI and Tsinghua University, is a high-performance video model powered by the original U-ViT architecture that blends Diffusion and Transformer technologies. It delivers long-form, highly consistent, and dynamic video content tailored for professional filmmaking, animation design, and creative advertising. By streamlining high-end visual production, Vidu empowers creators to transform complex ideas into cinematic reality with unprecedented efficiency.
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.
MiniMax LLM Models
As a premier suite of Large Language Models (LLMs) developed by MiniMax AI, MiniMax is engineered to redefine real-world productivity through cutting-edge artificial intelligence. The ecosystem features MiniMax M2.5, which is purpose-built for high-efficiency professional environments, and MiniMax M2.1, a model that offers significantly enhanced multi-language programming capabilities to master complex, large-scale technical tasks. By achieving SOTA performance in coding, agentic tool use, intelligent search, and office workflow automation, MiniMax empowers users to streamline a wide range of economically valuable operations with unparalleled precision and reliability.
Moonshot LLM Models
Kimi is a large language model developed by Moonshot AI, designed for reasoning, coding, and long-context understanding. It performs well in complex tasks such as code generation, analysis, and intelligent assistants. With strong performance and efficient architecture, Kimi is suitable for enterprise AI applications and developer use cases. Its balance of capability and cost makes it an increasingly popular choice in the LLM ecosystem.
Promote Models (Qwen)
Wan 2.7 Video 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.
Nano Banana 2 Image 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.
Seedream 5.0 Image 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.
Seedance 2.0 Video 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.
Kling 3.0 Video 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.
Vidu Video Models
Vidu, a joint innovation by Shengshu AI and Tsinghua University, is a high-performance video model powered by the original U-ViT architecture that blends Diffusion and Transformer technologies. It delivers long-form, highly consistent, and dynamic video content tailored for professional filmmaking, animation design, and creative advertising. By streamlining high-end visual production, Vidu empowers creators to transform complex ideas into cinematic reality with unprecedented efficiency.
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.
MiniMax LLM Models
As a premier suite of Large Language Models (LLMs) developed by MiniMax AI, MiniMax is engineered to redefine real-world productivity through cutting-edge artificial intelligence. The ecosystem features MiniMax M2.5, which is purpose-built for high-efficiency professional environments, and MiniMax M2.1, a model that offers significantly enhanced multi-language programming capabilities to master complex, large-scale technical tasks. By achieving SOTA performance in coding, agentic tool use, intelligent search, and office workflow automation, MiniMax empowers users to streamline a wide range of economically valuable operations with unparalleled precision and reliability.
Moonshot LLM Models
Kimi is a large language model developed by Moonshot AI, designed for reasoning, coding, and long-context understanding. It performs well in complex tasks such as code generation, analysis, and intelligent assistants. With strong performance and efficient architecture, Kimi is suitable for enterprise AI applications and developer use cases. Its balance of capability and cost makes it an increasingly popular choice in the LLM ecosystem.
