Wan2.6 Models
Wan 2.6 is a next-generation AI video generation model from Alibaba’s Tongyi Lab, designed for professional-quality, multimodal video creation. It combines advanced narrative understanding, multi-shot storytelling, and native audio–visual synchronization to produce smooth 1080p videos up to 15 s long from text and reference inputs. Wan 2.6 also supports character consistency and role-guided generation, enabling creators to turn scripts into cohesive scenes with seamless motion and lip syncing. Its efficiency and rich creative control make it ideal for short films, advertising, social media content, and automated video workflows.
주요 모델 탐색
Atlas Cloud는 업계 최고의 최신 크리에이티브 모델을 제공합니다.
Wan2.6 Models의 주요 특징
Atlas Cloud는 업계 최고의 최신 크리에이티브 모델을 제공합니다.
네이티브 A/V 동기화
시각 요소와 음향이 완벽하게 동기화되어 즉시 사용할 수 있는 결과물을 생성합니다.
부드럽고 사실적인 모션
자연스러운 움직임, 매끄러운 카메라 경로, 시네마틱한 페이싱을 제공합니다.
클립 길이 연장
더 풍부한 스토리텔링을 위해 최대 15초 길이의 동영상을 생성합니다.
확장 가능한 모델 변형
효율적인 5B 모델 또는 강력한 14B 모델 중에서 선택합니다.
유연한 프롬프트 입력
중국어, 영어 및 기타 언어를 원어민 수준으로 이해합니다.
정밀 립싱크
입 움직임을 정렬하는 고급 립싱크 엔진을 제공합니다.
최고 속도
최저 비용
| Wan 2.6 I2V Flash API (Image To Video Flash) | Wan 2.6 I2V Flash API는 시간에 민감한 애플리케이션을 위해 단일 이미지를 모션으로 애니메이션화하는 과정을 가속화합니다. Wan 2.6 Flash는 추론 속도와 리소스 할당을 최적화하여 핵심 피사체의 정체성과 필수적인 시각적 역동성을 유지하면서 빠른 비디오 생성을 제공합니다. 이 모드는 속도가 우선시되는 실시간 대화형 아바타, 빠른 프로토타이핑 및 대량의 소셜 미디어 콘텐츠 제작에 적합합니다。 |
| Wan 2.6 I2V API (Image To Video) | Wan 2.6 I2V API는 피사체의 정체성과 시각적 스타일을 유지하면서 단일 이미지를 움직이는 영상으로 애니메이션화합니다. Wan 2.6은 얼굴 특징, 비율, 텍스처 및 전체적인 구도를 유지하므로 인물 사진, 제품 이미지, 일러스트레이션 및 숏폼 비디오로 확장해야 하는 기타 정적 비주얼에 적합합니다. |
| Wan 2.6 T2V API (Text To Video) | Wan 2.6 T2V API는 자연어에서 직접 영화 같은 비디오를 생성합니다. Wan 2.6은 멀티 샷 프롬프트와 스토리보드 스타일의 설명을 이해하여 샷 순서, 카메라 방향, 속도 및 분위기를 단일 독립 클립이 아닌 일관된 비디오 시퀀스로 변환합니다. 이 모드는 스크립트, 브리핑 및 구조화된 장면 설명에 적합합니다. |
| Wan 2.6 V2V API (Video To Video) | Wan 2.6 V2V API는 기존 비디오 영상을 새로운 시각적 스타일로 변환하거나 시퀀스 내의 특정 요소를 변경합니다. Wan 2.6은 프레임 간의 시간적 일관성을 추적하여 복잡한 스타일 변경, 조명 조정 또는 모션 수정을 적용하면서도 부드러운 전환과 안정적인 객체 식별을 보장합니다. 이 모드는 후반 작업 VFX, 실사 클립의 애니메이션 스타일링 및 타겟 비디오 편집 작업에 적합합니다。 |
| Wan2.6 I2I API (Image To Image) | Wan 2.6 I2I API는 텍스트 프롬프트나 구조적 가이드를 기반으로 기존 이미지를 수정하거나 스타일을 변경합니다. Wan 2.6은 원본 입력의 구조적 무결성과 프롬프트의 창의적 추가 요소 간의 균형을 정밀하게 맞추어, 세밀한 텍스처 조정, 국소 편집 및 전반적인 스타일 변환을 가능하게 합니다. 이 모드는 콘셉트 아트 반복 작업, 사진 개선, 마케팅 자산 변형 및 타겟 이미지 리터칭에 매우 적합합니다。 |
| Wan2.6 T2I API (Text To Image) | Wan 2.6 T2I API는 상세한 자연어 설명에서 고충실도 이미지를 직접 생성합니다. Wan 2.6은 복잡한 구도 요청, 미묘한 조명 큐, 정교한 스타일 매개변수를 해석하여 매우 상세하고 시각적으로 일관된 결과물을 렌더링합니다. 이 모드는 광고 키 비주얼, 사설 일러스트레이션, UI/UX 목업 및 광범위한 콘셉트 디자인에 적합합니다。 |
Wan2.6 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.
Wan 2.6 API를 활용한 시네마틱 정밀도의 멀티 샷 스토리텔링
Wan 2.6 API는 부드러운 전환, 균형 잡힌 페이싱, 자연스러운 카메라 움직임을 갖춘 멀티 샷 1080p 비디오를 생성하는 재설계된 스토리텔링 엔진을 도입했습니다. 스토리보드 스타일의 프롬프트와 장면 설명을 이해하여, 개발자가 텍스트나 이미지 입력을 통해 연결된 시각적 서사를 만들 수 있도록 합니다. 이는 Wan 2.6 AI Video Generation API를 영화 같은 스토리텔링과 숏폼 창작물 제작에 이상적으로 만듭니다.
Wan 2.6 API를 활용한 네이티브 시청각 통합 및 시네마틱 HD 출력
Wan 2.6 API는 동기화된 사운드스케이프, 고급 카메라 물리 효과, 정밀한 립 싱크를 갖춘 완전한 영화급 HD 비디오를 제작하는 네이티브 시청각 생성 엔진을 특징으로 합니다. 단일 워크플로 내에서 대화, 배경 음악, 주변 소리를 매끄럽게 결합하여, 개발자가 별도의 오디오 편집 없이도 사실적인 팬, 줌, 트래킹 샷을 구현할 수 있게 합니다. 따라서 Wan 2.6 AI Video Generation API는 자동화된 단편 영화 제작, 몰입형 마케팅 캠페인, 즉시 게시 가능한 소셜 미디어 콘텐츠에 이상적입니다。
Wan 2.6 API를 활용한 정밀한 정체성 보존 및 캐릭터 일관성
Wan 2.6 API는 정교한 아이덴티티 락(identity-lock) 프레임워크를 활용하여 여러 장면과 카메라 각도에서 매우 일관된 캐릭터 얼굴, 브랜드 자산 및 세부 텍스처를 생성합니다. 참조 입력 및 복잡한 시각적 가이드라인을 엄격히 준수하므로, 개발자는 자동화된 대량 생산 워크플로 전반에 걸쳐 엄격한 브랜드 무결성과 IP 연속성을 유지할 수 있습니다. 따라서 Wan 2.6 API는 버추얼 인플루언서 관리, 에피소드형 콘텐츠 제작 및 고도로 개인화된 마케팅 캠페인에 이상적입니다。
Wan2.6 Models으로 할 수 있는 것
이 모델 패밀리로 구축할 수 있는 실용적인 사용 사례와 워크플로를 발견하세요 — 콘텐츠 제작과 자동화부터 프로덕션급 애플리케이션까지.
Wan 2.6 API를 활용한 시네마틱 트레일러 및 내러티브 쇼츠
Wan 2.6 API는 극적인 카메라 물리 효과, 정밀한 멀티 샷 연속성, 네이티브 사운드스케이프를 제공하여 영화 티저, 에피소드 스토리텔링, 몰입형 시각 서사에 이상적입니다. 역동적인 액션 시퀀스부터 섬세한 감정 클로즈업에 이르기까지, 이 시스템은 복잡한 스토리보드를 진정한 영화적 충실도로 구현해 내며 독립 영화 제작자, 크리에이티브 에이전시, 엔터테인먼트 스튜디오에 강력한 솔루션이 됩니다.
Commercial Product Reveal and Branding with the Wan 2.6 Video API
The Wan Video API offers reliable lighting control, clean contours, and polished camera transitions—ideal for product unveilings, branded assets, and commercial motion content. From metallic surfaces to engineered objects, the system reproduces modern product aesthetics with clarity, making it a strong fit for e-commerce, marketing teams, and industrial designers.
Wan 2.6 V2V API를 활용한 스타일라이즈드 애니메이션 및 VFX 사전 시각화
Wan 2.6 V2V API는 매끄러운 시간적 일관성, 복잡한 스타일 변환, 정밀한 객체 추적 기능을 제공하여 실사 영상을 애니메이션으로 변환하거나 포스트 프로덕션 초안 작성 및 고난도 시각 효과를 적용하는 데 이상적입니다. 양식화된 셀 셰이딩부터 초현실적인 환경 교체에 이르기까지, 이 시스템은 모든 프레임에서 구조적 무결성을 유지하므로 애니메이션 스튜디오, VFX 아티스트 및 게임 개발자에게 강력한 도구가 됩니다。
모델 비교
다양한 프로바이더의 모델 비교 — 성능, 가격, 고유한 강점을 비교하여 현명한 선택을 하세요.
| 모델 | 입력 유형 | 출력 지속 시간 | 해상도 | 오디오 생성 |
|---|---|---|---|---|
| Wan 2.6 | 텍스트, 이미지, 동영상, 오디오 | 4-15s | 2k,1080P, 720P, 480P | √ |
| Wan 2.5 | 텍스트, 이미지 | 4-12s | 720P, 480P | √ |
| Sora 2 | 텍스트, 이미지 | 5s;10s | 1080P, 720P, 480P | √ |
Atlas Cloud에서 Wan2.6 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 Wan2.6 Models을(를) 사용하는 이유
고급 Wan2.6 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 Wan2.6 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.
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.
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.
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.
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.
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.
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.
