
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 為您提供最新的行業領先創意模型。
Atlas Cloud 為您提供業界領先的最新創意模型。

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 加速了將單張圖像轉化為動態影片的過程,適用於對時間敏感的應用場景。Wan 2.6 Flash 優化了推論速度和資源分配,在提供快速影片生成的同時,保持了核心主體的身份特徵和關鍵的視覺動態。該模式非常適合對速度有優先要求的即時互動式虛擬化身、快速原型設計以及大批量社群媒體內容創作。 |
| Wan 2.6 I2V API (Image To Video) | Wan 2.6 I2V API 能將單張圖像轉化為動態影片,同時保留主體身份和視覺風格。Wan 2.6 能夠維持臉部特徵、比例、紋理和整體構圖,使其適用於肖像、產品圖像、插畫以及其他需要延伸為短影音的靜態視覺內容。 |
| Wan 2.6 T2V API (Text To Video) | Wan 2.6 T2V API 能直接根據自然語言生成電影級影片。Wan 2.6 理解多鏡頭提示詞和分鏡腳本風格的描述,能夠將鏡頭順序、運鏡方向、節奏和氛圍轉化為連貫的影片序列,而不僅僅是單個獨立的片段。該模式非常適合腳本、簡報和結構化的場景描述。 |
| Wan 2.6 V2V API (Video To Video) | Wan 2.6 V2V API 可將現有的視訊素材轉換為全新的視覺風格,或更改序列中的特定元素。Wan 2.6 追蹤幀與幀之間的時間一致性,在應用複雜的風格重塑、光影調整或動作修改時,確保過渡平滑且物件身分穩定。此模式非常適合後期製作 VFX、真人影片的動畫風格化以及針對性的視訊編輯任務。 |
| Wan2.6 I2I API (Image To Image) | Wan 2.6 I2I API 可根據文字提示或結構引導對現有圖像進行修改或重新設計風格。Wan 2.6 精確平衡了原始輸入的結構完整性與提示詞的創意添加,支援細節紋理調整、局部編輯和整體風格轉換。此模式非常適合概念藝術迭代、照片增強、行銷素材變體生成以及針對性的圖像修飾。 |
| Wan2.6 T2I API (Text To Image) | Wan 2.6 T2I API 能根據詳細的自然語言描述直接生成高保真圖像。Wan 2.6 能夠解讀複雜的構圖要求、細微的光影提示以及精細的風格參數,渲染出細節豐富且視覺連貫的輸出結果。此模式非常適合用於製作廣告主視覺圖、編輯插畫、UI/UX 原型設計以及宏大的概念設計。 |
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。
Wan 2.6 API 引入了經過重新設計的敘事引擎,能夠生成具有流暢轉場、均衡節奏和自然運鏡的多鏡頭 1080p 影片。它理解分鏡腳本風格的提示詞(prompts)和場景描述,允許開發者透過文字或圖像輸入創建連貫的視覺敘事。這使得 Wan 2.6 AI Video Generation API 成為電影級敘事和短影音創意製作的理想選擇。
Wan 2.6 API 具有原生視聽生成引擎,可製作全電影級高清影片,並配有同步音景、高級攝像機物理效果和精準口型同步。它在一個工作流程中無縫結合對話、背景音樂和環境音效,允許開發者執行逼真的搖攝、變焦和追蹤鏡頭,無需二次音訊編輯。這使得 Wan 2.6 AI Video Generation API 成為自動化短片製作、沉浸式行銷活動和即發型社群媒體內容的理想選擇。
Wan 2.6 API 利用先進的身份鎖定框架,在多個場景和攝影機角度中生成高度一致的角色面孔、品牌資產和細節紋理。它嚴格遵守參考輸入和複雜的視覺準則,使開發者能夠在自動化的大規模生產工作流程中保持嚴格的品牌完整性和 IP 連續性。這使得 Wan 2.6 API 成為虛擬網紅管理、情節性內容創作和高度個性化行銷活動的理想選擇。
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。
Wan 2.6 API 提供極具張力的運鏡物理效果、精準的多鏡頭連續性以及原生音景——非常適合製作電影預告片、劇集敘事和沉浸式視覺故事。從動感的動作場面到細膩的情感特寫,該系統能以真實的電影質感還原複雜的分鏡腳本,是獨立電影人、創意機構和娛樂工作室的理想選擇。
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 提供無縫的時間一致性、複雜的風格轉換和精確的物件追蹤——非常適合將真人實拍素材轉化為動漫、建立後製草稿以及應用重度視覺特效。從風格化的賽璐珞渲染到超寫實的環境替換,該系統在每一幀中都保持結構完整性,是動畫工作室、VFX 藝術家和遊戲開發者的強大工具。
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 | 輸入類型 | 輸出時長 | 解析度 | 音訊生成 |
|---|---|---|---|---|
| Wan 2.6 | 文本、影像、影片、音訊 | 4-15s | 2k,1080P, 720P, 480P | √ |
| Wan 2.5 | 文本、圖像 | 4-12s | 720P, 480P | √ |
| Sora 2 | 文本,圖像 | 5s;10s | 1080P, 720P, 480P | √ |
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。
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。
將先進的 Wan 2.7 Video 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。
低延遲:
GPU 最佳化推理,實現即時回應。
統一 API:
一次整合,暢用 Wan 2.7 Video Models 、GPT、Gemini 和 DeepSeek。
透明定價:
按 Token 計費,支援 Serverless 模式。
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。
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.