Wan 2.2 is the newest release from Alibaba, revolutionizing open-source AI video generation with native 1080p quality, cinematic effects, smarter LoRA controls, and enhanced motion handling. Building on the solid foundation of Wan 2.1, this new version brings creators faster, more flexible, and more powerful tools—all under a permissive open-source license.
Get StartedWan 2.2 is an open-source text-to-video and image-to-video AI model developed by Alibaba DAMO Academy. It’s the successor to Wan 2.1 and introduces major improvements in video resolution, generation speed, and visual effects—making it suitable for cinematic short films, trailers, social media content, and creative experimentation.
Often discussed in forums like Wan 2.2 Reddit, it stands out as one of the few free, production-grade AI video tools that users can run locally or via APIs.
While Wan 2.1 earned popularity for its stable 720p output and dual-language prompt support (English + Chinese), Wan 2.2 levels up in nearly every aspect:
The intermediate Wan 2.21 update is expected to fine-tune LoRA memory and add batch rendering for enterprise users.
The public Wan 2.2 release date was previewed by Alibaba and partner platforms like FluxPro in mid-2024. As of now, Wan 2.2 is rolling out in stages:
Wan 2.2 videos can be used across YouTube, TikTok, gaming channels, client presentations, or creative portfolios.
Wan 2.2 AI – Alibaba’s 1080p Open Source Video Generator | Release Details & Features
Explore Wan 2.2, Alibaba’s upgraded open-source AI video generator. Now with 1080p output, LoRA fine-tuning, and cinematic effects. Includes release date, features, and use cases.
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Wan 2.2 is Alibaba’s latest open-source AI model that generates high-quality 1080p videos from text or image prompts. It’s a major upgrade over Wan 2.1.
The Wan 2.2 release started in mid-2024. Public downloads and the Wan 2.21 patch are expected by the end of the year.
Yes. Wan 2.2 is released under Apache 2.0 license, making it free and open for commercial use.
You can test Wan 2.2 via platforms like FluxProWeb or GoEnhance until the model is live on GitHub and Hugging Face.
Many creators on Wan 2.2 Reddit threads compare its quality to proprietary tools like Sora or RunwayML and share prompt techniques, FX settings, and custom LoRA packs