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.
探索領先模型
Atlas Cloud 為您提供最新的行業領先創意模型。
Flux.2 Image Models 的核心亮點
Atlas Cloud 為您提供業界領先的最新創意模型。
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.
峰值速度
最低成本
| 模態 | 描述 |
|---|---|
| Flux.2 Dev API(Text To Image, Image To Image) | Flux.2 Dev API 提供了存取世界上最強大的 320 億參數開放權重模型的權限，專為複雜的文字生成圖像和多輸入圖像編輯而設計。透過使用統一的檢查點進行建立和修改，它簡化了專業創意工作流程，並為在商業授權下構建進階、可自訂的視覺 AI 應用程式提供了無與倫比的基礎。 |
| Flux.2 Pro API(Text To Image, Image To Image) | Flux.2 Pro API 提供業界領先的影像品質和卓越的提示詞遵循能力，媲美頂級閉源模型，同時顯著降低了延遲和營運成本。它為需要優質視覺保真度且無需高昂價格的企業級應用提供了高效能解決方案。 |
| Flux.2 Flex API(Text To Image, Image To Image) | Flux.2 Flex API 賦予開發者對生成參數的細粒度控制，包括引導係數和推理步驟，以完美校準速度與提示詞忠實度之間的平衡。它專為複雜的細節和精確的排版渲染而優化，作為一種多功能的工具包，服務於那些對複雜的視覺構圖和文本元素要求高精度控制的創作者。 |
| Flux.2 Klein API(Text To Image, Image To Image) | Flux.2 Klein API 透過先進的尺寸蒸餾技術提供了一種輕量級但穩健的解決方案，並採用對開發者友好的 Apache 2.0 授權發布。它的表現優於從頭開始訓練的同等規模模型，為資源受限環境下的高品質影像生成提供了一條高效且易於存取的途徑。 |
Flux.2 Image Models 新功能 + 展示
將先進模型與 Atlas Cloud 的 GPU 加速平台相結合，為圖像和視頻生成提供無與倫比的速度、可擴展性和創意控制。
透過 FLUX.2 API 實現增強的紋理保真度與逼真光影
FLUX.2 模型利用其 320 億參數架構，在所有視覺輸出中提供更清晰的紋理和穩定的光照。透過優化潛在空間中的光物質相互作用，使用者可以為高階產品視覺化和專業攝影實現照片級逼真的效果。它是超寫實渲染、材質一致性和工作室級數位資產的終極解決方案。
使用 FLUX.2 API 進行進階排版與圖形渲染
FLUX.2 支援複雜的排版佈局和精細的 UI 模擬，確保即使是微型文字也能保持清晰銳利。透過整合精密的字元級編碼，使用者可以精確渲染資訊圖表、迷因和品牌內容，實現零字元失真。它是專業平面設計、介面原型製作和文字密集型創意作品的終極解決方案。
透過 FLUX.2 API 進行結構化提示詞理解與組合控制
FLUX.2 引擎提供了卓越的邏輯，能夠以高保真度解讀多段落提示詞和複雜的空間約束。透過解碼細微的關係指令，使用者可以精準地編排多主體場景，並嚴格遵循構圖意圖。它是複雜敘事、分層數位藝術和精準視覺敘事的終極解決方案。
使用 FLUX.2 API 增強世界邏輯與空間感知
FLUX.2 融合了海量的世界知識，能夠深度理解光線、空間和物體行為之間的物理關係。透過將每一次生成都建立在現實環境邏輯的基礎上，使用者可以確保複雜的場景表現與物理世界中的預期完全一致。它是建築視覺化、沉浸式世界構建以及邏輯一致的場景合成的終極解決方案。
使用 Flux.2 Image Models 可以做什麼
探索使用該模型家族可以構建的實際應用場景和工作流 — 從內容創作、自動化到生產級應用。
使用 FLUX.2 API 進行照片級高保真渲染
FLUX.2 模型讓創作者和開發者能夠構建超逼真的視覺內容，保留栩栩如生的紋理、穩定的光照和物理準確性。32B 參數架構非常適合專業產品攝影和建築可視化，確保一致的表面反射和材質深度——支持高端營銷資產、奢侈品牌樣機和工作室級數字攝影。
使用 FLUX.2 API 進行精準排版設計與佈局
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.
邏輯場景構圖與 4MP 高解析度編輯
FLUX.2 對結構化、多部分提示詞提供了無與倫比的解析能力，能夠實現精細的多主體場景和複雜的空間佈局。該 API 支援高達 400 萬像素的高解析度編輯，促進了無縫的圖生圖轉換和精確的局部調整——為需要在大型創意專案中保持邏輯一致性的專業數位藝術家和願景家提供了高效的一站式解決方案。
模型對比
查看不同廠商的模型表現 — 對比效能、價格和獨特優勢，做出明智決策。
| 模型 | 參考圖像限制 | 輸出數量 | 解析度 | 模型 |
|---|---|---|---|---|
| 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 |
如何在 Atlas Cloud 上使用 Flux.2 Image Models
幾分鐘即可上手 — 按照以下簡單步驟，透過 Atlas Cloud 平台整合和部署模型。
建立 Atlas Cloud 帳戶
在 atlascloud.ai 註冊並完成驗證。新用戶可獲得免費額度，用於探索平台和測試模型。
為何在 Atlas Cloud 使用 Flux.2 Image Models
將先進的 Flux.2 Image Models 模型與 Atlas Cloud 的 GPU 加速平台相結合，提供無與倫比的效能、可擴展性和開發體驗。
效能與靈活性
低延遲：
GPU 最佳化推理，實現即時回應。
統一 API：
一次整合，暢用 Flux.2 Image Models、GPT、Gemini 和 DeepSeek。
透明定價：
按 Token 計費，支援 Serverless 模式。
企業與規模
開發者體驗：
SDK、資料分析、微調工具和模板一應俱全。
可靠性：
99.99% 可用性、RBAC 權限控制、合規日誌。
安全與合規：
SOC 2 Type II 認證、HIPAA 合規、美國資料主權。
關於 Flux.2 Image Models 的常見問題
它整合了圖像生成、局部編輯和多圖合成功能。FLUX.2 比其前代產品快 30%-50%，原生支援 4MP 高解析度輸出，在物理邏輯、光照和紋理方面實現了逼真的卓越效果。
FLUX.2 即使在複雜場景中也能渲染出清晰、準確的文字，支援長段落和微型字體。透過整合 Mistral-3 24B 視覺語言模型，它在資訊圖表、UI 原型（Mockups）和文字密集型品牌資產方面表現出色。
FLUX.2 由 Black Forest Labs (BFL) 開發，該公司由 Stable Diffusion (SDXL) 的原班創始團隊創立。該團隊曾開創了潛在擴散（Latent Diffusion）技術，現在透過 32B 參數的 Rectified Flow 架構重新定義了視覺智能。
探索更多系列
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.
