Wan 2.2
The first open MoE model for AI video generation
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Ankit Sharma

Wan 2.6 - The next era of multimodal AI for creators is here

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Wan 2.6 is a native multimodal AI model that turns ideas into cinematic-quality videos and images. It supports multi-shot storytelling, consistent character casting from reference videos, natural audio-visual sync with realistic lip-sync, and 1080p HD generation. With advanced control over motion, lighting, lenses, and aesthetics, Wan 2.6 enables creators to produce coherent, professional-grade visual narratives from simple prompts.

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Ankit Sharma
Hunter
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Hey Hunters, Wan 2.6 is here — a native multimodal model built for cinematic storytelling, not just clips. 🎬 What makes Wan 2.6 special: ✅ Starring / Reference Casting: Reuse characters from reference videos with consistent appearance & voice, even across multi-person and human–object interactions ✅ Intelligent Multi-shot Narratives: Simple prompts → auto-storyboarded, multi-scene videos with strong visual consistency ✅ Native Audio-Visual Sync: Multi-speaker dialogue with natural lip-sync and studio-quality sound ✅ Cinematic Output: Up to 15s, 1080p HD, with better motion physics, instruction adherence & aesthetic control ✅ Advanced Image Creation & Editing: Photorealistic visuals with precise lens & lighting control + multi-image references ✅ Structured Storytelling: Interleaved text & visuals powered by real-world knowledge for richer, hierarchical narratives This feels like a big step from “video generation” to true AI filmmaking Curious to see what creators, studios, and storytellers build with it!
Yu Pan

The description of the new version is great. How about the generation speed? Can it be achieved within 1:40？

Marios @dessign
AI Tools Directory
Congrats.. very cool product.. all the best 🔥🔥
Anton Loss
DeepTagger

Finally!! (I couldn't have been the only one waiting for something more that 10 second clips).

Jay Dev

Whoa, Wan 2.2 looks incredible! The MoE architecture for video generation is a game changer. How does the fine-grained cinematic control handle different camera lens simulations? Super curious!

Viktor Shumylo

Congrats on the launch! Consistent characters and multi-shot narratives feel like a big leap toward real filmmaking workflows. How much control do creators have over the storyboard once it’s generated?