Flux.2 Image Models
Developed by Black Forest Labs, FLUX.2 is a powerhouse 32-billion parameter rectified flow Transformer model that redefines creative workflows by unifying AI image generation, editing, and composition. It transforms complex text prompts into high-fidelity visuals while offering integrated tools for professional-grade editing at resolutions up to 2K, providing a streamlined, all-in-one solution for digital artists and designers seeking unmatched precision and scalability in their visual content creation.
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。
Flux.2 Image Modelsの特徴
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。
Photorealistic Quality
Generates crisp, high-resolution images with accurate lighting, textures, and detail for production use.
Fast, Lightweight Inference
Optimized architecture delivers rapid image generation on modest GPUs and edge hardware.
Fine-Grained Control
Supports styles, presets, and prompt controls so designers can quickly dial in the exact look they want.
Seamless Workflow Integration
Simple APIs and plugins connect Nano Banana to design tools, apps, and pipelines with minimal setup.
Cost-Efficient Creativity
Efficient diffusion kernels and smart caching keep generation costs low, so teams can experiment freely at scale.
Flexible Deployment Options
Flexible Deployment Options Run in the cloud, on-prem, or in VPC environments.
最高速度
最低コスト
| モダリティ | 説明 |
|---|---|
| Flux.2 Dev API(Text To Image, Image To Image) | Flux.2 Dev APIは、高度なテキストからの画像生成およびマルチ入力画像編集用に設計された、世界で最も強力な320億パラメータのオープンウェイトモデルへのアクセスを提供します。作成と修正の両方に統一されたチェックポイントを利用することで、プロフェッショナルなクリエイティブワークフローを効率化し、商用ライセンスの下で高度でカスタマイズ可能なビジュアルAIアプリケーションを構築するための比類のない基盤を提供します。 |
| Flux.2 Pro API(Text To Image, Image To Image) | Flux.2 Pro APIは、業界をリードする画質と、トップクラスのクローズドソースモデルに匹敵するプロンプト忠実度を実現すると同時に、レイテンシと運用コストを大幅に削減します。これは、高額なコストをかけることなくプレミアムな視覚的忠実度を必要とするエンタープライズレベルのアプリケーションに、高性能なソリューションを提供します。 |
| Flux.2 Flex API(Text To Image, Image To Image) | Flux.2 Flex APIは、ガイダンススケールや推論ステップを含む生成パラメータに対するきめ細かな制御を開発者に提供し、速度とプロンプトの忠実度のトレードオフを完璧に調整できるようにします。複雑なディテールや正確なタイポグラフィのレンダリングに特化して最適化されており、複雑な視覚構成やテキスト要素に対して高精度の制御を求めるクリエイターにとって、多才なツールキットとして機能します。 |
| Flux.2 Klein API(Text To Image, Image To Image) | Flux.2 Klein APIは、高度なサイズ蒸留技術を通じて軽量かつ堅牢なソリューションを提供し、開発者に優しいApache 2.0ライセンスの下で公開されています。ゼロからトレーニングされた同規模のモデルを凌駕し、リソースが制限された環境において高品質な画像生成を行うための効率的でアクセスしやすい経路を提供します。 |
Flux.2 Image 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。
FLUX.2 APIによるテクスチャ忠実度の向上とリアルなライティング
FLUX.2 モデルは、320億パラメータのアーキテクチャを活用し、すべてのビジュアル出力において、より鮮明なテクスチャと安定したライティングを実現します。潜在空間における光と物質の相互作用を最適化することで、ユーザーはハイエンドな製品ビジュアライゼーションやプロフェッショナルな写真撮影において、フォトリアルな結果を得ることができます。これは、超写実的なレンダリング、素材の一貫性、そしてスタジオ品質のデジタルアセットのための究極のソリューションです。
FLUX.2 APIを使用した高度なタイポグラフィとグラフィックレンダリング
FLUX.2は、複雑なタイポグラフィレイアウトや緻密なUIシミュレーションをサポートし、極小の文字でも鮮明で読みやすさを維持します。高度な文字レベルのエンコーディングを統合することで、ユーザーはインフォグラフィック、ミーム、ブランドコンテンツを文字化けゼロで正確にレンダリングできます。これは、プロフェッショナルなグラフィックデザイン、インターフェースのプロトタイピング、そしてテキストを多用するクリエイティブな構成に最適なソリューションです。
FLUX.2 APIを使用した構造化プロンプトの理解と構成制御
FLUX.2 エンジンは、複数の段落にわたるプロンプトや複雑な空間的制約を高精度で解釈するための優れたロジックを提供します。微細な関係性の指示を読み解くことで、ユーザーは複数の被写体を含むシーンを正確に構成し、構図の意図を厳密に守ることができます。これは、洗練されたストーリーテリング、レイヤー化されたデジタルアート、そして精密なビジュアルナラティブのための究極のソリューションです。
FLUX.2 APIを使用した世界ロジックと空間認識の強化
FLUX.2は膨大な世界知識を取り入れ、光、空間、物体の挙動の間の物理的な関係を深く理解します。すべての生成を現実的な環境ロジックに基づかせることで、ユーザーは複雑なシーンが物理的な世界で期待される通りに振る舞うことを保証できます。これは、建築ビジュアライゼーション、没入型の世界構築、そして論理的に整合性の取れたシーン合成のための究極のソリューションです。
Flux.2 Image 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。
FLUX.2 APIによるフォトリアリスティックな高忠実度レンダリング
FLUX.2モデルは、クリエイターや開発者が、生き生きとしたテクスチャ、安定した照明、物理的な正確さを保持した超リアルなビジュアルコンテンツを構築することを可能にします。プロフェッショナルな製品写真や建築ビジュアライゼーションに最適で、32Bパラメータアーキテクチャは一貫した表面反射とマテリアルの深度を保証し、ハイエンドなマーケティング資産、高級ブランドのモックアップ、スタジオグレードのデジタル写真撮影をサポートします。
FLUX.2 APIを使用した精密なタイポグラフィデザインとレイアウト
For information-dense graphics, FLUX.2 renders complex typography, UI simulations, and intricate layouts with absolute clarity and zero character distortion. This use case fits graphic designers, branding experts, and social media creators requiring precise text integration in posters, infographics, and interface prototypes—ensuring even micro-fonts remain legible and perfectly aligned, powered by advanced Transformer-based semantic understanding.
論理的なシーン構成と4MP高解像度編集
FLUX.2は、構造化されたマルチパート・プロンプトに対して比類のない解釈能力を提供し、洗練されたマルチ被写体シーンや複雑な空間配置を可能にします。最大400万画素の高解像度編集に対応するこのAPIは、シームレスな画像変換（image-to-image）や精密な部分的調整を容易にし、大規模なクリエイティブプロジェクトにおいて論理的一貫性を求めるプロのデジタルアーティストやビジョナリーに、効率的なワンストップソリューションを提供します。
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 | 参照画像の上限 | 出力数 | 解像度 | モデル |
|---|---|---|---|---|
| Flux.2 | 10 | 1 | 2K | 1:1 3:2 2:3 3:4 4:3 4:5 5:4 9:16 16:9 21:9 |
| Flux.1 | 1 | 1 | 256P~4K | Width[256, 4096]px; Height[256, 4096]px |
| Qwen-Image | 3 | 1~6 | 512P~2K | Width[512, 2048]px; Height[512, 2048]px |
| 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 |
| 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 |
Atlas Cloud で Flux.2 Image 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Flux.2 Image Modelsを使用する理由
高度なFlux.2 Image 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Flux.2 Image 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。
Flux.2 Image Models に関するよくある質問
画像生成、ローカル編集、および複数画像の合成を統合しています。FLUX.2は前世代より30%〜50%高速化されており、4MPの高解像度出力をネイティブにサポートし、物理ロジック、ライティング、テクスチャにおいてフォトリアリスティックな卓越性を実現しています。
FLUX.2は複雑なシーンでも鮮明で正確なテキストを描画し、長い段落や極小フォントにも対応します。Mistral-3 24B視覚言語モデルを統合することで、インフォグラフィック、UIモックアップ、テキスト量の多いブランドアセットにおいて卓越した性能を発揮します。
FLUX.2は、Stable Diffusion (SDXL) の開発者たちによって設立されたBlack Forest Labs (BFL) によって開発されました。同チームはLatent Diffusion技術のパイオニアであり、現在は32BパラメータのRectified Flowアーキテクチャを通じて、視覚的インテリジェンスを再定義しています。
さらにファミリーを探索
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.
