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.
주요 모델 탐색
Atlas Cloud는 업계 최고의 최신 크리에이티브 모델을 제공합니다.
Flux.2 Image Models의 주요 특징
Atlas Cloud는 업계 최고의 최신 크리에이티브 모델을 제공합니다.
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.
최고 속도
최저 비용
| 모달리티 | 설명 |
|---|---|
| Flux.2 Dev API(Text To Image, Image To Image) | Flux.2 Dev API는 정교한 텍스트-이미지 생성 및 다중 입력 이미지 편집을 위해 설계된 세계에서 가장 강력한 320억 매개변수 오픈 웨이트(open-weights) 모델에 대한 액세스를 제공합니다. 생성과 수정 모두에 단일 체크포인트를 활용함으로써 전문적인 크리에이티브 워크플로를 간소화하고, 상용 라이선스 하에 고급 맞춤형 시각 AI 애플리케이션을 구축할 수 있는 독보적인 기반을 제공합니다。 |
| Flux.2 Pro API(Text To Image, Image To Image) | Flux.2 Pro API는 업계 최고의 이미지 품질과 최고 수준의 폐쇄형 소스 모델에 필적하는 프롬프트 준수 기능을 제공하면서도 대기 시간과 운영 비용을 획기적으로 줄여줍니다. 이는 높은 비용 부담 없이 프리미엄 시각적 충실도를 필요로 하는 엔터프라이즈급 애플리케이션을 위한 고성능 솔루션을 제공합니다. |
| Flux.2 Flex API(Text To Image, Image To Image) | Flux.2 Flex API는 개발자에게 가이던스 스케일 및 추론 단계를 포함한 생성 매개변수에 대한 세분화된 제어 권한을 부여하여, 속도와 프롬프트 충실도 간의 균형을 완벽하게 조절할 수 있게 합니다. 복잡한 세부 사항과 정밀한 타이포그래피 렌더링에 최적화된 이 도구는 복잡한 시각적 구성 및 텍스트 요소에 대한 고정밀 제어를 요구하는 창작자를 위한 다목적 툴킷 역할을 합니다. |
| Flux.2 Klein API(Text To Image, Image To Image) | Flux.2 Klein API는 고급 크기 증류(size-distillation) 기술을 통해 가볍지만 강력한 솔루션을 제공하며, 개발자 친화적인 Apache 2.0 라이선스로 배포됩니다. 이는 처음부터 훈련된 유사한 규모의 모델보다 뛰어난 성능을 발휘하여, 리소스가 제한된 환경에서 고품질 이미지 생성을 위한 효율적이고 접근 가능한 경로를 제공합니다。 |
Flux.2 Image Models 새로운 기능 + 쇼케이스
고급 모델과 Atlas Cloud의 GPU 가속 플랫폼을 결합하여 이미지 및 비디오 생성에서 비할 데 없는 속도, 확장성 및 창의적 제어를 제공합니다.
FLUX.2 API를 활용한 향상된 텍스처 충실도 및 사실적인 조명 구현
FLUX.2 모델은 320억 개의 파라미터 아키텍처를 활용하여 모든 시각적 결과물에서 더 선명한 텍스처와 안정된 조명을 제공합니다. 잠재 공간(latent space)에서 빛과 물질의 상호작용을 최적화함으로써, 사용자는 하이엔드 제품 시각화 및 전문 사진 촬영을 위한 사실적인 결과를 얻을 수 있습니다. 이는 초현실적 렌더링, 소재의 일관성, 스튜디오급 디지털 자산을 위한 궁극적인 솔루션입니다。
FLUX.2 API를 활용한 고급 타이포그래피 및 그래픽 렌더링
FLUX.2는 복잡한 타이포그래피 레이아웃과 정교한 UI 시뮬레이션을 지원하여 미세한 텍스트까지도 선명하고 가독성 있게 유지합니다. 정교한 문자 수준 인코딩을 통합함으로써 사용자는 문자 왜곡 없이 인포그래픽, 밈 및 브랜드 콘텐츠를 정밀하게 렌더링할 수 있습니다. 이는 전문 그래픽 디자인, 인터페이스 프로토타이핑 및 텍스트 중심의 창의적인 구성 작업을 위한 궁극적인 솔루션입니다.
FLUX.2 API를 활용한 구조화된 프롬프트 이해 및 구성 제어
FLUX.2 엔진은 여러 단락으로 구성된 프롬프트와 복잡한 공간적 제약을 높은 충실도로 해석할 수 있는 탁월한 로직을 제공합니다. 미묘한 관계 지시문을 해독함으로써 사용자는 다중 피사체 장면을 정확하게 구성하고 구도 의도를 엄격하게 준수할 수 있습니다. 이는 정교한 스토리텔링, 레이어드 디지털 아트, 정밀한 시각적 서사를 위한 궁극적인 솔루션입니다。
FLUX.2 API를 활용한 월드 로직 및 공간 인식 향상
FLUX.2는 방대한 세계 지식을 통합하여 빛, 공간 및 객체 행동 간의 물리적 관계를 깊이 이해합니다. 모든 생성을 현실적인 환경 논리에 기반을 둠으로써, 사용자는 복잡한 장면이 물리적 세계에서 예상되는 대로 정확하게 작동하도록 보장할 수 있습니다. 이는 건축 시각화, 몰입형 세계 구축 및 논리적으로 일관된 장면 합성을 위한 궁극적인 솔루션입니다。
Flux.2 Image Models으로 할 수 있는 것
이 모델 패밀리로 구축할 수 있는 실용적인 사용 사례와 워크플로를 발견하세요 — 콘텐츠 제작과 자동화부터 프로덕션급 애플리케이션까지.
FLUX.2 API를 이용한 포토리얼리스틱 고충실도 렌더링
FLUX.2 모델을 사용하면 크리에이터와 개발자가 생생한 텍스처, 안정적인 조명, 물리적 정확성을 유지하는 초현실적인 시각 콘텐츠를 구축할 수 있습니다. 전문 제품 사진 및 건축 시각화에 이상적인 32B 파라미터 아키텍처는 일관된 표면 반사와 재질의 깊이를 보장하여, 하이엔드 마케팅 자산, 럭셔리 브랜드 목업, 스튜디오급 디지털 사진 촬영을 지원합니다.
FLUX.2 API를 활용한 정밀 타이포그래피 디자인 및 레이아웃
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.
논리적 장면 구성 및 4MP 고해상도 편집
FLUX.2는 구조화된 다중 부분 프롬프트에 대해 타의 추종을 불허하는 해석 능력을 제공하여, 정교한 다중 피사체 장면과 복잡한 공간 배치를 가능하게 합니다. 최대 400만 화소의 고해상도 편집을 지원하는 API는 원활한 이미지 간 변환(image-to-image)과 정밀한 부분 수정을 용이하게 하며, 대규모 창작 프로젝트에서 논리적 일관성을 요구하는 전문 디지털 아티스트와 비저너리들을 위한 효율적인 원스톱 솔루션을 제공합니다.
모델 비교
다양한 프로바이더의 모델 비교 — 성능, 가격, 고유한 강점을 비교하여 현명한 선택을 하세요.
| 모델 | 참조 이미지 제한 | 출력 개수 | 해상도 | 모델 |
|---|---|---|---|---|
| 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 Cloud에서 Flux.2 Image Models 사용하는 방법
몇 분 만에 시작하세요 — 간단한 단계를 따라 Atlas Cloud 플랫폼을 통해 모델을 통합하고 배포하세요.
Atlas Cloud 계정 생성
atlascloud.ai에서 가입하고 인증을 완료하세요. 신규 사용자는 플랫폼 탐색과 모델 테스트를 위한 무료 크레딧을 받습니다.
Atlas Cloud에서 Flux.2 Image Models을(를) 사용하는 이유
고급 Flux.2 Image Models 모델과 Atlas Cloud의 GPU 가속 플랫폼을 결합하여 비교할 수 없는 성능, 확장성 및 개발자 경험을 제공합니다.
성능 및 유연성
낮은 지연 시간:
실시간 추론을 위한 GPU 최적화 추론.
통합 API:
하나의 통합으로 Flux.2 Image Models, GPT, Gemini 및 DeepSeek를 실행합니다.
투명한 가격:
Serverless 옵션을 포함한 예측 가능한 token당 청구.
엔터프라이즈 및 확장
개발자 경험:
SDK, 분석, 파인튜닝 도구 및 템플릿.
신뢰성:
99.99% 가동 시간, RBAC 및 규정 준수 로깅.
보안 및 규정 준수:
SOC 2 Type II, HIPAA 준수, 미국 내 데이터 주권.
Flux.2 Image Models에 대한 자주 묻는 질문
이미지 생성, 로컬 편집 및 다중 이미지 합성 기능을 통합합니다. FLUX.2는 이전 모델보다 30%-50% 더 빠르며 4MP 고해상도 출력을 기본적으로 지원하여, 물리적 로직, 조명 및 질감에서 사실적인 우수성을 달성합니다.
FLUX.2는 복잡한 장면에서도 선명하고 정확한 텍스트를 렌더링하며, 긴 단락과 마이크로 폰트를 지원합니다. Mistral-3 24B 비전-언어 모델을 통합하여 인포그래픽, UI 목업 및 텍스트 중심의 브랜드 자산에서 탁월한 성능을 발휘합니다.
FLUX.2는 Stable Diffusion (SDXL)의 원작자들이 설립한 Black Forest Labs (BFL)에서 개발했습니다. 이 팀은 Latent Diffusion 기술을 개척했으며, 현재 32B 파라미터의 Rectified Flow 아키텍처를 통해 시각 지능을 재정의하고 있습니다.
더 많은 패밀리 탐색
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.
