
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.
Atlas Cloud 为您提供最新的行业领先创意模型。
Atlas Cloud 为您提供业界领先的最新创意模型。

Master video flow via first/last frame control and 3x3 grid image-to-video generation.

Outperforms competitors by supporting real-person image inputs and up to five video references.

Effortlessly edit or replicate existing videos using simple natural language commands.

Generate 2-15 seconds of fluid, high-definition motion for professional digital storytelling.

Massive upgrades in visual clarity, synchronized audio, and motion consistency.
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。 |
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。
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。
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。
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。
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。
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。
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 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。
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 | √ |
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。
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。
将先进的 Wan 2.7 Video 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。
低延迟:
GPU 优化推理,实现实时响应。
统一 API:
一次集成,畅用 Wan 2.7 Video Models 、GPT、Gemini 和 DeepSeek。
透明定价:
按 Token 计费,支持 Serverless 模式。
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。
The model is scheduled for official release within March 2026.
Wan2.7 offers superior professional creative tools: it supports real-person image inputs, up to 5 video references, 1080P HD output, and flexible durations from 2 to 15 seconds.
Wan2.7 delivers a comprehensive leap in visual quality, audio synchronization, motion dynamics, stylization, and cross-frame consistency.
It supports first-and-last frame control, 3x3 grid image-to-video synthesis, and precise generation via subject and voice referencing.
It supports high-definition resolutions up to 1080P, with video durations flexibly adjustable between 2 and 15 seconds.
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.
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.
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.
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.
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 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.
Explore OpenAI’s language and video models on Atlas Cloud: ChatGPT for advanced reasoning and interaction, and Sora-2 for physics-aware video generation.
Vidu, a joint innovation by Shengshu AI and Tsinghua University, is a high-performance video model powered by the original U-ViT architecture that blends Diffusion and Transformer technologies. It delivers long-form, highly consistent, and dynamic video content tailored for professional filmmaking, animation design, and creative advertising. By streamlining high-end visual production, Vidu empowers creators to transform complex ideas into cinematic reality with unprecedented efficiency.
Built on the Wan 2.5 and 2.6 frameworks, Van Model is a flagship AI video series that delivers superior high-resolution outputs with unmatched creative freedom. By blending cinematic 3D VAE visuals with Flow Matching dynamics, it leverages proprietary compute distillation to offer ultra-fast inference speeds at a fraction of the cost, making it the premier engine for scalable, high-frequency video production on a budget.
As a premier suite of Large Language Models (LLMs) developed by MiniMax AI, MiniMax is engineered to redefine real-world productivity through cutting-edge artificial intelligence. The ecosystem features MiniMax M2.5, which is purpose-built for high-efficiency professional environments, and MiniMax M2.1, a model that offers significantly enhanced multi-language programming capabilities to master complex, large-scale technical tasks. By achieving SOTA performance in coding, agentic tool use, intelligent search, and office workflow automation, MiniMax empowers users to streamline a wide range of economically valuable operations with unparalleled precision and reliability.
Kimi is a large language model developed by Moonshot AI, designed for reasoning, coding, and long-context understanding. It performs well in complex tasks such as code generation, analysis, and intelligent assistants. With strong performance and efficient architecture, Kimi is suitable for enterprise AI applications and developer use cases. Its balance of capability and cost makes it an increasingly popular choice in the LLM ecosystem.