Wan 2.6 is the first AI video model engineered specifically for narrative consistency. Unlike standard generators that produce isolated clips, Wan 2.6 enables creators to craft cohesive, multi-shot sequences where characters and styles remain identical across cuts. Upgrade from the legacy Wan 2.2 and discover the full potential of the Wan ecosystem. From deep audio-sync to precise camera control, Wan 2.6 bridges the gap between generative AI and professional video editing.
**Multi-Reference Video Generation:** Wan 2.6 allows you to input multiple reference images to lock in character identity and visual style. Whether your scene shifts from a wide drone shot to an extreme close-up, your protagonist's facial features and clothing details remain 100% consistent. It blends narrative constraints with visual inputs to ensure every frame belongs to the same story.
**Deep Audio-Visual Synchronization:** Forget post-production lip-syncing. Wan 2.6 aligns motion, pacing, and facial expressions directly with your audio input. Whether it’s a dialogue-heavy scene or a rhythm-driven music video, the visual energy matches the sound wave perfectly, creating a natural and immersive viewing experience.
**Consistent Sequence Optimization:** Wan 2.6 is optimized for the editing room. It reduces "dream-like" morphing and character drift that plagues other models. Every transition feels intentional, and the visual variance at cut points is minimized, allowing you to string together multiple generated clips into a seamless narrative flow.
**High-Density Short-Form Expression:** Designed for the age of social media, Wan 2.6 packs maximum narrative clarity into short runtimes. Even in a 5-second clip, the model establishes context, action, and resolution, ensuring your content captures attention immediately without feeling rushed or incomplete.
Start by uploading your character sheets, environment references, or even a specific soundtrack. These inputs act as the "anchor" for Wan 2.6, ensuring the AI understands the visual identity and rhythm before it generates a single frame.
Describe your scene with "editing logic." Instead of just "a man walking," specify "a tracking shot of a man walking, cut to a low-angle view." Use natural language to define camera movement, emotional tone, and pacing.
Hit generate to watch Wan 2.6 weave your inputs into a coherent multi-shot sequence. Because the model understands narrative structure, you spend less time re-rolling for mistakes and more time refining the creative details.
Consistency
**Multi-Shot Identity Lock**
Improved Physics & Stability
Good Motion, High Drift
Audio Sync
**Precise Audio-Visual Sync (Lip-Sync)**
Native Audio Generation (Bg + Voice)
Silent / Manual Post-Process
Max Resolution
**Native 2K (Upscale to 4K)**
1080p HD / Native 4K
720p HD
Max Duration
**15s (Optimized for Narrative)**
10 Seconds
5 Seconds
Shot Logic
**Sequential Narrative Flow**
Extended Single Shot
Isolated Clips
Input Support
**Text + Image + Audio + Video**
Text + Image + Audio
Text + Image
Consistency
**Multi-Shot Identity Lock**
Improved Physics & Stability
Good Motion, High Drift
Audio Sync
**Precise Audio-Visual Sync (Lip-Sync)**
Native Audio Generation (Bg + Voice)
Silent / Manual Post-Process
Max Resolution
**Native 2K (Upscale to 4K)**
1080p HD / Native 4K
720p HD
Max Duration
**15s (Optimized for Narrative)**
10 Seconds
5 Seconds
Shot Logic
**Sequential Narrative Flow**
Extended Single Shot
Isolated Clips
Input Support
**Text + Image + Audio + Video**
Text + Image + Audio
Text + Image