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.
استكشف النماذج الرائدة
يوفر لك Atlas Cloud أحدث النماذج الإبداعية الرائدة في الصناعة.
السرعة القصوى
أقل تكلفة
| نموذج | الاسم الرسمي |
|---|---|
| Nano Banana 2 T2I API(Text to Image) | تمكّن واجهة برمجة التطبيقات (API) لتحويل النص إلى صورة في Nano Banana 2 المطورين من تحويل المطالبات النصية إلى مرئيات مذهلة بجودة سينمائية وبدقة 4K أصلية. ومن خلال الاستفادة من منطق التحكم المتقدم في المشهد، فإنها تولد تفاصيل دقيقة وتكوينات معقدة متعددة الشخصيات لتدفقات العمل الإبداعية عالية التزامن. |
| Nano Banana 2 Edit API(Image to Image) | تُمكّن واجهة برمجة التطبيقات Nano Banana 2 Edit المطورين من تحويل الصور الموجودة إلى روائع فنية مُحسنة أو مُعاد تصورها بتناسق سلس. ومن خلال استخدام تقنية الانتشار الموجه المتطورة، فإنها تولد نقلات أسلوبية وتعديلات هيكلية دقيقة لتكرار الأصول وتصميم التسويق بمستوى احترافي. |
ميزات جديدة لـ Nano Banana2 Models + عرض
يوفر الجمع بين النماذج المتقدمة ومنصة Atlas Cloud المسرّعة بوحدات GPU سرعة وقابلية توسع وتحكمًا إبداعيًا لا مثيل لهما في إنشاء الصور والفيديو.
دقة 4K أصلية مع تفاصيل فائقة باستخدام Nano Banana 2 API
يولد Nano Banana 2 صوراً أصلية بدقة 4K مع التركيز على الدقة الهيكلية. من خلال التقاط التفاصيل الدقيقة مثل انعكاسات الضوء الواقعية والتشريح البشري المعقد، فإنه يضمن الاتساق البصري عبر الإطار بأكمله. حتى العناصر الصعبة، مثل العرض الدقيق للنصوص داخل الصور، يتم التعامل معها بوضوح ودقة.
سرعة توليد فائقة باستخدام Nano Banana 2 API
تم تصميم Nano Banana 2 لتحقيق الكفاءة، حيث يوازن بين المخرجات عالية الجودة وتقليل أوقات العرض (rendering) بشكل كبير. يسمح هذا الأداء بعملية إبداعية أكثر سلاسة، مما يجعله فعالًا بشكل خاص للصناعات ذات الحجم الكبير مثل التجارة الإلكترونية والتسويق عبر وسائل التواصل الاجتماعي، حيث تكون دورات تسليم المشاريع ضيقة. إنه مناسب تمامًا لإعلانات التجارة الإلكترونية وعمليات وسائل التواصل الاجتماعي التي تتطلب تكرارًا سريعًا.
تحكم فائق في الشخصيات المتعددة والمشاهد المعقدة باستخدام Nano Banana 2 API
يوفر Nano Banana 2 تحكماً مستقراً في التفاعلات بين مواضيع متعددة والخلفيات المعقدة. إنه يحافظ على العلاقات المكانية المنطقية وتناسق الشخصيات ضمن "prompt" واحد، مما يسمح للمستخدمين بإنشاء تركيبات متطورة ومتعددة الطبقات دون فقدان السرد المركزي للصورة.
ما يمكنك فعله مع Nano Banana2 Models
اكتشف حالات الاستخدام العملية وسير العمل التي يمكنك بناؤها مع عائلة النماذج هذه — من إنشاء المحتوى والأتمتة إلى التطبيقات على مستوى الإنتاج.
مرئيات إبداعية سينمائية بدقة 4K باستخدام Nano Banana 2 API
تتيح واجهة برمجة التطبيقات (API) الخاصة بـ Nano Banana 2 للمبدعين إنشاء صور بدقة 4K أصلية مع دقة لا مثيل لها في الضوء والظل. تعتبر هذه الواجهة مثالية لإعلانات العلامات التجارية الراقية والفن المفاهيمي، حيث تضمن الدقة الهيكلية في التصاميم التشريحية المعقدة وتكامل النص بوضوح تام. من خلال الحفاظ على قوام عالي الدقة عبر الإطار بأكمله، فإنها توفر أساسًا قويًا لعمليات سير العمل الإبداعية الاحترافية والأصول الرقمية كبيرة الحجم.
إنشاء أصول التجارة الإلكترونية عالية السرعة باستخدام واجهة برمجة تطبيقات Nano Banana 2
من أجل دورات التسويق السريعة، توفر Nano Banana 2 API سرعات توليد رائدة في الصناعة دون المساس بجودة المخرجات. إنها مناسبة تمامًا لحملات التجارة الإلكترونية وعمليات وسائل التواصل الاجتماعي، وتسمح للعلامات التجارية بتكرار الصور المرئية التي تركز على المنتج على الفور. يقلل هذا الأداء المحسن بشكل كبير من دورات تسليم المشروع، مما يجعله أداة أساسية للمتاجر الرقمية ذات الحجم الكبير التي تتطلب السرعة والتميز البصري معًا.
تكوين متقدم متعدد الشخصيات باستخدام Nano Banana 2 API
يتفوق Nano Banana 2 في إدارة العلاقات المكانية المعقدة وسرد القصص متعدد الموضوعات ضمن "مُطالِبَة" (prompt) واحدة. ومن خلال الاستفادة من منطق التحكم في المشهد الفائق، تحافظ واجهة برمجة التطبيقات (API) على التماسك البصري واتساق الشخصيات عبر البيئات المعقدة. تعد حالة الاستخدام هذه مثالية للرسوم التوضيحية السردية، وبناء العوالم، وتصميمات التسويق المتطورة التي تتطلب تنسيقًا دقيقًا لعناصر متعددة داخل مشهد موحد عالي الدقة.
مقارنة النماذج
شاهد كيف تتقارن نماذج مختلف المزودين — قارن الأداء والأسعار ونقاط القوة الفريدة لاتخاذ قرار مدروس.
| نموذج | حد الصور المرجعية | عدد المخرجات | الدقة | نسبة العرض إلى الارتفاع |
|---|---|---|---|---|
| Nano Banana 2 | 14 | 1 | 4K, 2K, 1K | 1:1 3:2 2:3 3:4 4:3 4:5 5:4 9:16 16:9 21:9 |
| Nano Banana Pro | 10 | 1 | 4K, 2K, 1K | 1:1 3:2 2:3 3:4 4:3 4:5 5:4 9:16 16:9 21:9 |
| Seedream 5.0 Lite | 14 | 1~15 | 2K~4K+ | 1:1 3:2 2:3 3:4 4:3 4:5 5:4 9:16 16:9 21:9 |
| Qwen-image | 3 | 1~6 | 512P~2K | Width[512, 2048]px;Height[512, 2048]px |
How to Use Nano Banana2 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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لماذا تستخدم Nano Banana2 Models على Atlas Cloud
دمج نماذج Nano Banana2 Models المتقدمة مع منصة Atlas Cloud المسرّعة بـ GPU يوفر أداءً لا مثيل له وقابلية للتوسع وتجربة مطور استثنائية.
الأداء والمرونة
زمن انتقال منخفض:
استدلال محسّن لـ GPU للاستجابة في الوقت الفعلي.
API موحد:
قم بتشغيل Nano Banana2 Models و GPT و Gemini و DeepSeek من خلال تكامل واحد.
تسعير شفاف:
فواتير يمكن التنبؤ بها لكل رمز مع خيارات بدون خادم.
المؤسسات والتوسع
تجربة المطور:
SDKs والتحليلات وأدوات الضبط الدقيق والقوالب.
الموثوقية:
وقت تشغيل 99.99%، RBAC، وتسجيل جاهز للامتثال.
الأمان والامتثال:
SOC 2 Type II، توافق HIPAA، سيادة البيانات في الولايات المتحدة.
الأسئلة الشائعة حول Nano Banana2 Models
يشير "4K الأصلي" إلى الصور التي يتم إنشاؤها مباشرة بدقة عالية بدلاً من رفع دقتها (upscaling)، مما يدعم دقة تصل إلى 4096*2304. كما نوفر مواصفات من مستوى 2K، المحسنة للمعاينة عالية السرعة وحالات الاستخدام في وسائل التواصل الاجتماعي.
يوفر Atlas Cloud حجم إخراج ونسبة أبعاد قابلين للتكوين من خلال وحدة التحكم وواجهة برمجة التطبيقات (API) بحيث يمكنك مطابقة التنسيقات الشائعة مثل 1:1 و16:9 و9:16 والمزيد. (تعتمد الخيارات الدقيقة على نقطة النهاية المحددة وإعدادات النموذج).
تستخدم Edit API تقنية الانتشار الموجه (guided diffusion) لإجراء نقل دقيق للأنماط وتعديلات هيكلية. وهي تتيح للمطورين تكرار الأصول الحالية أو إعادة تصورها أو تحسينها مع الحفاظ على اتساق سلس، مما يجعلها مثالية لتكرار الأصول الاحترافية وتصميم التسويق.
لأن الإطلاق أمر مهم: واجهة برمجة تطبيقات (API) موحدة لسير العمل من النص إلى الصورة ومن الصورة إلى الصورة / تسعير واضح + تتبع الاستخدام / سهولة تبديل النماذج دون إعادة بناء خط الأنابيب (Pipeline) الخاص بك
استكشف المزيد من العائلات
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
