Experience the next evolution in generative video with Wan 2.2. Delivering native 1080p resolution, advanced camera controls, and unparalleled realistic motion for creators.

The landscape of artificial intelligence is shifting rapidly, and nowhere is this more evident than in the realm of generative video. Wan 2.2, developed by the visionary team at Alibaba Cloud's Tongyi Lab, stands at the forefront of this revolution. As the latest iteration in the acclaimed Wan series, Wan 2.2 is not merely an incremental update; it is a comprehensive reimagining of what open-source video models can achieve. By integrating a sophisticated Mixture of Experts (MoE) architecture with a new Video Animation Control Engine (VACE 2.0), Wan 2.2 shatters previous limitations in resolution, temporal consistency, and directorial control. At its core, Wan 2.2 is designed to democratize high-end video production. Traditionally, achieving cinematic quality required massive rental budgets for cameras, lighting rigs, and specialized software, not to mention the steep learning curve of VFX tools. Wan 2.2 condenses this entire studio pipeline into a single, powerful AI model. Capable of generating native 1080p resolution content without the artifacts commonly associated with upscaling, it allows creators to produce broadcast-ready footage directly from text prompts or reference images. The model's deep understanding of physical laws—light reflection, fluid dynamics, and gravity—ensures that every generated frame feels grounded in reality, whether you are creating a hyper-realistic cityscape or a fantastical alien world. Furthermore, Wan 2.2 addresses one of the most persistent challenges in generative video: controllability. Early AI video models were often unpredictable, functioning like a slot machine where users hoped for a lucky result. Wan 2.2 puts the director's baton firmly back in the user's hand. With advanced camera control parameters, creators can specify exact movements—sweeping pans, dramatic dolly zooms, or steady tracking shots—allowing for precise storytelling that aligns with a storyboard. Combined with its robust support for few-shot LoRA (Low-Rank Adaptation), Wan 2.2 can be fine-tuned to mimic specific artistic styles or maintain character consistency across multiple clips, making it a viable tool for long-form narrative content. Whether for marketing, entertainment, or education, Wan 2.2 is the engine that will power the next generation of visual storytelling.
Wan 2.2 offers distinct advantages for creators pushing the boundaries of AI video.

Ideal for YouTubers, advertisers, and social media managers who need high-quality b-roll or custom video assets on a tight schedule.
Rapidly prototype cutscenes, animate character concepts, or generate dynamic background textures for immersive environments.
Create engaging explainer videos and historical recreations with high visual fidelity to capture student attention.
Use Wan 2.2 to generate dynamic backdrops for LED walls in virtual production stages, saving costs on physical set construction.
Resolution is the cornerstone of professional video. While many competitors are stuck at 480p or 720p, requiring messy upscaling to look acceptable on modern screens, Wan 2.2 natively generates pristine 1080p video. This means that details—from the texture of skin to the individual leaves on a distant tree—are rendered with pixel-perfect clarity from the start. This high-fidelity output is crucial for editors who need to grade footage or crop in without losing quality, effectively bridging the gap between AI generation and traditional stock footage.
Efficiency usually comes at the cost of quality, but not with Wan 2.2. By utilizing a cutting-edge Mixture of Experts (MoE) architecture, the model activates only the relevant parameters for a given task. Think of it as having a team of specialized artists—one expert in lighting, another in motion, another in textures—who step in exactly when needed. This approach significantly reduces the computational load while simultaneously boosting the model's capacity to handle complex scenes, resulting in faster generation times and richer, more nuaced visuals compared to dense models of similar size.
VACE 2.0 (Video Animation Control Engine) is Wan 2.2's answer to the lack of camera control in AI video. It introduces a comprehensive syntax for camera movement. You can command the AI to 'pan left at medium speed,' 'zoom in quickly on the subject,' or 'crane up to reveal the landscape.' This level of control changes the game for storytellers, allowing them to construct sequences that flow logically and cinematically, rather than just stitching together random clips. It supports complex compound movements, enabling dynamic shots that feel professionally operated.
Every brand and artist has a unique style. Wan 2.2's improved LoRA (Low-Rank Adaptation) training pipeline allows for rapid personalization with minimal data. With as few as 10 to 20 reference images, you can teach the model a new art style, a specific character face, or a product design. This 'few-shot' capability makes it incredibly practical for commercial projects where brand consistency is non-negotiable, or for indie animators who want to maintain a distinct visual identity throughout a series.
Wan 2.2 is not limited to a single mode of operation. It is a true multimodal powerhouse. Its Text-to-Video (T2V) mode excels at interpreting complex, abstract prompts. The Image-to-Video (I2V) mode breathes life into static pictures with startling realism, perfect for animating historical photos or concept art. The Text+Image-to-Video mode combines the best of both worlds, using an image for composition consistency and text for action direction. Additionally, the new Speech-to-Video capabilities allow for audio-driven animation, syncing lip movements and facial expressions to uploaded audio tracks.
To sell the illusion of reality, an AI must understand the physical world. Wan 2.2 exhibits a profound grasp of volumetric physics. It can accurately render swirling smoke that reacts to wind, fire that casts dynamic light and shadows, and water that flows and splashes realistically. Beyond fluids, it understands solid body mechanics, ensuring that objects interact, collide, and move with appropriate weight and momentum. This capability is essential for creating VFX-heavy scenes that require a suspension of disbelief.
Unleash your potential with the power of cinematic AI video generation.