Wan 2.7

Wan 2.7 is a major upgrade that works as both a text-to-image generator and a controllable AI video generation and editing platform. Whether you are stuck switching between separate tools for images and video or struggling to keep characters consistent across shots, Wan 2.7 brings everything into one workflow. Start directly with image generation on the homepage, including Wan 2.7 Image and Image Pro modes with output up to 4K, then move seamlessly into video creation.

The platform combines strong image output capabilities with professional video tools: first and last frame control for precise storytelling, 9-grid image-to-video for turning storyboards into motion, subject plus voice dual references to keep characters and audio consistent, natural language instruction-based editing, and high-consistency video recreation for fast A/B testing and versioning. Videos also come with native audio support.

Using Wan 2.7 is straightforward. On the homepage, choose to generate an image directly from a text prompt, with support for square 1:1 and high resolutions. Use generated or uploaded images as references for video generation, including the 9-grid storyboard mode. Add first and last frames along with subject or voice references, then generate or edit videos using natural language instructions. Recreate variations with high consistency and export when you are done.

Everything runs in the browser, and free trial generations are available so you can test the workflow before committing. Whether you need static high-resolution images for concepts, key visuals, or storyboards, or dynamic videos with consistent characters and smooth motion, Wan 2.7 provides an integrated solution for creators and teams.

Typical use cases include generating high-quality images for concepts, thumbnails, and storyboards; creating short-form videos, ads, explainers, and cinematic clips; building consistent character series with matching voice; iterating rapidly between image concepts and animated videos; and producing marketing creatives, social media content, and pre-visualization material.