Wan 2.7 Core Features
Wan 2.7 is an AI video creation platform for creators, offering text, image, video and audio inputs, controllable generation, editing and story continuation with precise style, character and camera control.
Core Features of Wan 2.7
Multimodal Input Control
Accepts text, image, video, and audio inputs to shape story, style, appearance, and voice, enabling creators to guide generation with diverse media sources.
Text‑to‑Video Generation
Creates high‑quality videos with audio directly from detailed textual prompts, allowing precise specification of subject, lighting, mood, and composition.
Prompt‑Based Video Editing
Modifies existing footage by adjusting actions, dialogue, character appearance, scene style, or camera direction using natural‑language instructions without restarting generation.
Reference‑Driven Subject Consistency
Utilizes up to five image or video references to maintain stable characters, objects, and props across generated clips, ensuring visual continuity.
Story and Time Flow Management
Provides first‑frame, last‑frame, and continuation controls, as well as multi‑shot sequencing, to govern narrative progression and temporal coherence of videos.
Full‑Dimension Editing Suite
Enables comprehensive adjustments of action, pacing, style, and camera movement within a single workflow, supporting iterative refinement of the final output.
Use Cases of Wan 2.7
- Marketing teams: Produce brand ads with consistent characters and style using multimodal reference inputs.
- Product managers: Convert static product images into dynamic demo videos with controllable motion and narrative flow.
- Educators: Transform lesson scripts into short tutorial videos, adjusting pacing and voice through prompt‑based editing.
- Creative directors: Prototype storyboards, refine camera angles, and extend scenes without restarting the generation process.
- Content creators: Edit existing clips—alter dialogue, action, or visual style—via natural‑language instructions for faster revisions.
