Wan 2.2 Enhanced

• 🏢 Alibaba's Wan video family, offered here as image-to-video
• 👁️ Animates a supplied still image guided by a text prompt
• 📏 Wan 2.2 documents first-and-last-frame conditioning alongside first-frame input
• 🔧 Exposed through Alibaba Cloud Model Studio image-to-video APIs
• 🎯 Aimed at photorealistic clips with subject coherence across frames
• ⚡ Earlier-generation option sitting beside newer Wan releases in this catalog
• 🆕 Wan 2.7 image-to-video has its own separate documented API
• 🌐 Catalog also carries Wan text-to-video, reference and edit variants

Alibaba

Alibaba Group is a Chinese multinational technology company founded in 1999 and headquartered in Hangzhou, Zhejiang. Originally built around e-commerce and cloud computing, Alibaba has become one of the most prolific contributors to open-weight AI research,…

Wan 2.2 Enhanced is an image-to-video entry in this catalog's Wan lineup, derived from Alibaba's Wan 2.2 generation. You supply a starting image plus a text prompt describing the motion you want, and the model returns a short clip that keeps the subject's appearance and composition while animating it. In this catalog it is positioned for photorealistic generation with strong subject coherence from frame to frame.

Compared with the earlier interface, Alibaba's own Model Studio documentation for the Wan 2.2 generation adds a first-and-last-frame image-to-video mode, where a start image and an end image define a transition, alongside the first-frame-only image-to-video API documented for the preceding generation. For that earlier baseline, see Wan 2.1 Pro; for the prompt-only counterpart in the same generation, see Wan 2.2 A14B.

Later family entries extend rather than replace this workflow. Wan 2.6 and Wan 2.7 Enhanced represent the newer generations in the catalog, and Alibaba publishes a distinct Wan 2.7 image-to-video API reference for that generation.

Practically, this configuration suits animating an existing still with controlled camera and subject movement. For reference-driven or editing workflows, the Wan reference-to-video and edit variants elsewhere in the catalog are the better fit.