Wan 2.7 — Wan Video Generator
Wan 2.7 is an AI-first video generation and editing platform designed for short-form professional outputs (2–15s) with 1080p resolution and native audio sync. It combines generation, multi-reference conditioning, and instruction-based editing into one workflow.
Key technical features
- Native audio sync and text-to-speech alignment: generates synchronized speech that matches lip movement and scene timing.
- Multi-reference input: supports up to 5 video references and real-person image input for consistent subject identity and motion style.
- Structured input control: first-frame/last-frame generation and 9-grid image-to-video enable precise start/finish framing and layout-driven visual input.
- Editing & recreation: natural-language instruction-based editing and video recreation that preserve motion structure for iterative and multi-version production.
- Output specs & performance: 1080p output, 2–15 second clip support, 3–5 renders/second (UI indicated throughput), and formats suitable for social ads and short-form campaigns.
- Stylization & consistency: improved visual quality, motion realism, stylization control, and subject continuity across clips.
Target users and practical applications
- Short-form creators and narrative filmmakers who need stable character continuity across shots and native audio sync.
- Brand and marketing teams producing ads, promos, and social videos at 1080p up to 15s.
- Content teams and studios that require multi-reference generation (character + voice) and quick iteration via instruction-based edits.
- Producers looking to recreate or remix existing footage while preserving motion and timing.
Why it stands out
Wan 2.7 is positioned as an end-to-end solution that merges high-quality generation with controllable inputs (multi-reference, first/last-frame, 9-grid) and robust editing capabilities — reducing dependence on post-production and enabling faster iteration for professional workflows.
