Wan 2.7 Video Generator

Wan 2.7 allows creators to edit videos as easily as editing images. Instead of regenerating an entire clip, you can modify specific parts of a video using simple instructions. Edited areas automatically adapt to lighting, materials, and scene context, ensuring the final result looks natural and consistent with the original footage.

Creators can adjust dialogue, actions, or camera angles in an existing video without reshooting or regenerating everything. Wan 2.7 enables flexible storytelling by allowing you to rewrite scenes, change character behavior, or modify camera perspectives while preserving the original characters and environment.

Wan 2.7 makes it easy to reuse dynamic creative elements from reference videos. Camera movements, character actions, and visual effects can be replicated quickly, allowing creators to reuse cinematic techniques without manually recreating complex motion sequences.

The model supports advanced timeline control through start frames, end frames, and video continuation features. This allows creators to extend scenes naturally while maintaining consistent composition, lighting, and narrative flow, eliminating the abrupt endings often seen in earlier AI-generated videos.

Wan 2.7 supports up to five characters with consistent visual identity and voice references. By using images, videos, or audio as references, creators can maintain stable character appearance and voice across multiple scenes, making it easier to produce longer and more coherent stories.

Wan 2.7 introduces storyboard-style control using multi-panel reference images. A single storyboard image can guide scene composition, camera angles, and character placement, allowing creators to generate complex multi-shot sequences with greater precision and planning.