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.
探索领先模型
Atlas Cloud 为您提供最新的行业领先创意模型。
Wan2.6 Models 的核心亮点
Atlas Cloud 为您提供业界领先的最新创意模型。
原生音视频同步
生成完美同步的视觉和声音，提供立即可用的结果。
流畅、逼真的动作
呈现自然的动作、流畅的运镜轨迹以及电影级的节奏感。
延长片段时长
生成长达 15 秒的视频，实现更丰富的叙事效果。
可扩展模型变体
在高效的 5B 模型与强大的 14B 模型之间进行选择。
灵活的提示词输入
原生理解中文、英文及其他语言。
精准唇形同步
提供先进的口型同步引擎，用于对齐嘴部动作。
峰值速度
成本最低
| Wan 2.6 I2V Flash API (Image To Video Flash) | Wan 2.6 I2V Flash API 加速了将单张图像转化为动态视频的过程，适用于对时间敏感的应用场景。Wan 2.6 Flash 优化了推理速度和资源分配，在提供快速视频生成的同时，保持了核心主体的身份特征和关键的视觉动态。该模式非常适合对速度有优先要求的实时交互式虚拟形象、快速原型设计以及大批量社交媒体内容创作。 |
| Wan 2.6 I2V API (Image To Video) | Wan 2.6 I2V API 能将单张图像转化为动态视频，同时保留主体身份和视觉风格。Wan 2.6 能够保持面部特征、比例、纹理和整体构图，使其适用于肖像、产品图像、插画以及其他需要扩展为短视频的静态视觉内容。 |
| Wan 2.6 T2V API (Text To Video) | Wan 2.6 T2V API 能直接根据自然语言生成电影级视频。Wan 2.6 理解多镜头提示词和故事板风格的描述，能够将镜头顺序、运镜方向、节奏和氛围转化为连贯的视频序列，而不仅仅是单个独立的片段。该模式非常适合脚本、简报和结构化的场景描述。 |
| Wan 2.6 V2V API (Video To Video) | Wan 2.6 V2V API 将现有视频素材转化为全新的视觉风格，或更改序列中的特定元素。Wan 2.6 追踪帧间的时间一致性，在应用复杂的风格重塑、光照调整或运动修改时，确保过渡平滑且对象身份稳定。该模式非常适合后期制作 VFX、真人片段的动画风格化以及定向视频编辑任务。 |
| Wan2.6 I2I API (Image To Image) | Wan 2.6 I2I API 可根据文本提示或结构引导对现有图像进行修改或风格重塑。Wan 2.6 精确平衡了原始输入的结构完整性与提示词的创意添加，支持细节纹理调整、局部编辑和整体风格转换。该模式非常适合概念艺术迭代、照片增强、营销素材变体生成以及针对性的图像修饰。 |
| Wan2.6 T2I API (Text To Image) | Wan 2.6 T2I API 能根据详细的自然语言描述直接生成高保真图像。Wan 2.6 能够理解复杂的构图要求、细微的光影提示以及精细的风格参数，渲染出细节丰富且视觉连贯的输出结果。该模式非常适合用于制作广告主视觉图、编辑插画、UI/UX 原型设计以及宏大的概念设计。 |
Wan2.6 Models 新功能 + 展示
将先进模型与 Atlas Cloud 的 GPU 加速平台相结合，为图像和视频生成提供无与伦比的速度、可扩展性和创意控制。
使用 Wan 2.6 API 实现具有电影级精度的多镜头叙事
Wan 2.6 API 引入了经过重新设计的叙事引擎，能够生成具有流畅转场、均衡节奏和自然运镜的多镜头 1080p 视频。它理解故事板风格的提示词（prompts）和场景描述，允许开发者通过文本或图像输入创建连贯的视觉叙事。这使得 Wan 2.6 AI Video Generation API 成为电影级叙事和短视频创意制作的理想选择。
使用 Wan 2.6 API 实现原生音画融合与电影级高清输出
Wan 2.6 API 具有原生视听生成引擎，可制作全电影级高清视频，并配有同步音景、高级摄像机物理效果和精准口型同步。它在一个工作流中无缝结合对话、背景音乐和环境音效，允许开发者执行逼真的摇摄、变焦和追踪镜头，无需二次音频编辑。这使得 Wan 2.6 AI Video Generation API 成为自动化短片制作、沉浸式营销活动和即发型社交媒体内容的理想选择。
使用 Wan 2.6 API 实现精准的身份保持与角色一致性
Wan 2.6 API 利用先进的身份锁定（identity-lock）框架，在多个场景和摄像机角度中生成高度一致的角色面孔、品牌资产和细节纹理。它严格遵守参考输入和复杂的视觉准则，使开发者能够在自动化的大规模生产工作流程中保持严格的品牌完整性和IP连续性。这使得 Wan 2.6 API 成为虚拟网红管理、情节性内容创作和高度个性化营销活动的理想选择。
使用 Wan2.6 Models 可以做什么
探索使用该模型家族可以构建的实际应用场景和工作流 — 从内容创作、自动化到生产级应用。
使用 Wan 2.6 API 制作电影级预告片和叙事短片
Wan 2.6 API 提供极具张力的运镜物理效果、精准的多镜头连续性以及原生音景——非常适合制作电影预告片、剧集叙事和沉浸式视觉故事。从动感的动作场面到细腻的情感特写，该系统能以真实的电影质感还原复杂的分镜脚本，是独立电影人、创意机构和娱乐工作室的理想选择。
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.
使用 Wan 2.6 V2V API 进行风格化动画和特效预演
Wan 2.6 V2V API 提供无缝的时间一致性、复杂的风格迁移和精确的对象追踪——非常适合将真人实拍素材转化为动漫、创建后期制作草稿以及应用重度视觉特效。从风格化的赛璐珞渲染到超写实的环境替换，该系统在每一帧中都保持结构完整性，是动画工作室、VFX 艺术家和游戏开发者的强力工具。
模型对比
查看不同厂商的模型表现 — 对比性能、价格和独特优势，做出明智决策。
| 模型 | 输入类型 | 输出时长 | 分辨率 | 音频生成 |
|---|---|---|---|---|
| Wan 2.6 | 文本、图像、视频、音频 | 4-15s | 2k,1080P, 720P, 480P | √ |
| Wan 2.5 | 文本、图像 | 4-12s | 720P, 480P | √ |
| Sora 2 | 文本，图像 | 5s;10s | 1080P, 720P, 480P | √ |
如何在 Atlas Cloud 上使用 Wan2.6 Models
几分钟即可上手 — 按照以下简单步骤，通过 Atlas Cloud 平台集成和部署模型。
创建 Atlas Cloud 账户
在 atlascloud.ai 注册并完成验证。新用户可获得免费额度，用于探索平台和测试模型。
为何在 Atlas Cloud 使用 Wan2.6 Models
将先进的 Wan2.6 Models 模型与 Atlas Cloud 的 GPU 加速平台相结合，提供无与伦比的性能、可扩展性和开发体验。
性能与灵活性
低延迟：
GPU 优化推理，实现实时响应。
统一 API：
一次集成，畅用 Wan2.6 Models、GPT、Gemini 和 DeepSeek。
透明定价：
按 Token 计费，支持 Serverless 模式。
企业与规模
开发者体验：
SDK、数据分析、微调工具和模板一应俱全。
可靠性：
99.99% 可用性、RBAC 权限控制、合规日志。
安全与合规：
SOC 2 Type II 认证、HIPAA 合规、美国数据主权。
探索更多系列
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.
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.
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.
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.
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.
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.
