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.
主要モデルを探索
Atlas Cloudは、業界をリードする最新のクリエイティブモデルを提供します。
最高速度
最低コスト
| モデル | 正式名称 |
|---|---|
| Nano Banana 2 T2I API(Text to Image) | Nano Banana 2 Text to Image APIは、テキストプロンプトをネイティブ4K精度の鮮やかなシネマティックグレードのビジュアルに変換する機能を開発者に提供します。高度なシーン制御ロジックを活用することで、高並行性のクリエイティブワークフロー向けに、精緻なディテールと複雑な多人数構成を生成します。 |
| Nano Banana 2 Edit API(Image to Image) | Nano Banana 2 Edit APIは、開発者が既存の画像を、シームレスな一貫性を持つ洗練された傑作や再構築された傑作へと変換することを可能にします。最先端のガイド付き拡散技術を利用することで、プロフェッショナルグレードのアセット反復やマーケティングデザイン向けに、正確なスタイル変換と構造的な修正を生成します。 |
Nano Banana2 Models の新機能 + ショーケース
先進的なモデルと Atlas Cloud の GPU アクセラレーションプラットフォームを組み合わせ、画像・動画生成において比類のない速度、拡張性、クリエイティブコントロールを実現します。
Nano Banana 2 APIを使用した究極のディテールを持つネイティブ4K解像度
Nano Banana 2は、構造的な正確さに焦点を当て、ネイティブ4K画像を生成します。リアルな光の反射や複雑な人体解剖学などの微細なディテールを捉えることで、フレーム全体で視覚的な一貫性を確保します。画像内の正確なテキストレンダリングなど、困難な要素であっても、鮮明かつシャープに処理されます。
Nano Banana 2 APIによる超高速な生成速度
効率性を追求して設計された Nano Banana 2 は、高品質な出力とレンダリング時間の大幅な短縮を両立させています。このパフォーマンスにより、よりスムーズな制作プロセスが可能となり、プロジェクトの納期が厳しいEコマースやソーシャルメディアマーケティングのような大量生産型業界において特に効果を発揮します。迅速なイテレーションが求められるEコマース広告やソーシャルメディア運用に最適です。
Nano Banana 2 APIを使用した優れた多キャラクターおよび複雑なシーン制御
Nano Banana 2 は、複数の被写体の相互作用や複雑な背景に対して安定した制御を提供します。単一のプロンプト内で論理的な空間関係とキャラクターの一貫性を維持し、画像の中心的な物語を損なうことなく、洗練された多層的な構図を作成することを可能にします。
Nano Banana2 Models でできること
このモデルファミリーで構築できる実用的なユースケースとワークフローを発見 — コンテンツ作成や自動化から本番グレードのアプリケーションまで。
Nano Banana 2 APIによるシネマティックな4Kクリエイティブビジュアル
Nano Banana 2 APIにより、クリエイターは光と影において比類のない精度を持つネイティブ4K画像を生成できます。ハイエンドのブランド広告やコンセプトアートに最適なこのAPIは、複雑な解剖学的レンダリングにおける構造的正確さと、非常に鮮明なテキスト統合を保証します。フレーム全体で高忠実度のテクスチャを維持することで、プロフェッショナルなクリエイティブワークフローや大判デジタルアセットのための強固な基盤を提供します。
Nano Banana 2 APIを使用した高速Eコマースアセット生成
迅速なマーケティングサイクルのために、Nano Banana 2 APIは、出力品質を損なうことなく業界をリードする生成速度を実現します。Eコマースキャンペーンやソーシャルメディア運用に最適で、ブランドは製品中心のビジュアルを即座に反復作成できます。この最適化されたパフォーマンスにより、プロジェクトの納期が大幅に短縮され、スピードと卓越したビジュアルの両方を必要とする大量のデジタルストアフロントにとって不可欠なツールとなります。
Nano Banana 2 APIを使用した高度な複数キャラクター構成
Nano Banana 2は、単一のプロンプト内での複雑な空間関係や多主体のストーリーテリングの管理に優れています。優れたシーン制御ロジックを活用することで、このAPIは複雑な環境全体で視覚的な一貫性とキャラクターの整合性を維持します。このユースケースは、統一された高解像度のシーン内で複数の要素の正確な調整を必要とする、物語的なイラストレーション、ワールドビルディング、洗練されたマーケティングデザインに最適です。
モデル比較
異なるプロバイダーのモデルを比較 — パフォーマンス、料金、独自の強みを確認して最適な選択を。
| モデル | 参照画像の制限 | 出力数 | 解像度 | アスペクト比 |
|---|---|---|---|---|
| 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 |
Atlas Cloud で Nano Banana2 Models を使う方法
数分で始められます — 以下の簡単なステップに従って、Atlas Cloud プラットフォームでモデルを統合・デプロイしましょう。
Atlas Cloud アカウントを作成
atlascloud.ai でサインアップし、認証を完了します。新規ユーザーには無料クレジットが付与され、プラットフォームの探索やモデルのテストに使用できます。
Atlas CloudでNano Banana2 Modelsを使用する理由
高度なNano Banana2 ModelsモデルとAtlas CloudのGPU加速プラットフォームを組み合わせることで、比類のないパフォーマンス、スケーラビリティ、開発者エクスペリエンスを提供。
パフォーマンスと柔軟性
低レイテンシ：
リアルタイム推論のためのGPU最適化推論。
統合API：
1つの統合でNano Banana2 Models、GPT、Gemini、DeepSeekを実行。
透明な料金：
サーバーレスオプション付きの予測可能なtoken単位の課金。
エンタープライズとスケール
開発者エクスペリエンス：
SDK、分析、ファインチューニングツール、テンプレート。
信頼性：
99.99%の稼働率、RBAC、コンプライアンス対応ロギング。
セキュリティとコンプライアンス：
SOC 2 Type II、HIPAA準拠、米国内のデータ主権。
Nano Banana2 Models に関するよくある質問
ネイティブ4Kとは、アップスケーリングではなく直接高解像度で生成された画像を指し、最大4096*2304まで対応しています。また、高速プレビューやソーシャルメディアでの使用事例に最適化された2Kクラスの仕様も提供しています。
Atlas Cloudは、コンソールとAPIを通じて設定可能な出力サイズとアスペクト比を提供し、1:1、16:9、9:16などの一般的なフォーマットに対応できます。（正確なオプションは、選択されたエンドポイントとモデル設定に依存します。）
Edit APIは、正確なスタイル変換と構造変更のためにガイデッドディフュージョン（guided diffusion）を利用します。これにより、開発者はシームレスな一貫性を維持しながら既存のアセットを反復、再構想、または洗練させることができ、プロフェッショナルなアセットの反復作業やマーケティングデザインに最適です。
デプロイが重要だからです：テキスト対画像および画像対画像ワークフロー全体で統一された API / 明確な価格設定 + 使用状況の追跡 / パイプラインを再構築せずにモデルを簡単に交換可能
さらにファミリーを探索
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.
