Upload a video clip and let AI extend it seamlessly.
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Upload a video clip and let AI extend it seamlessly.
Wan 2.2 Video Extend is a cutting-edge feature of the Wan 2.2 large video generation model developed by Alibaba Cloud. While the core Wan 2.2 model excels at Text-to-Video and Image-to-Video generation using a robust Mixture-of-Experts (MoE) architecture, the Video Extend capability takes it a step further. It allows users to upload an existing video clip and generate a seamless continuation, effectively "extending" the narrative, motion, and duration of the original footage without compromising quality. This technology utilizes advanced temporal alignment and 3D Variational Autoencoders (VAE) to ensure that the new frames match the lighting, style, and physics of the input video, creating an infinite canvas for storytellers.
The model analyzes the last frames of your uploaded video to predict and generate the next sequence of events, ensuring a smooth transition with no visible cuts.
Maintain 720p/1080p resolution with professional color grading and camera motion preservation throughout the extended duration.
The AI understands the semantic context of your scene, allowing characters and objects to continue their actions naturally.
In the rapidly evolving landscape of generative AI, Wan 2.2 stands out due to its optimized architecture and superior visual output. Extending video is notoriously difficult because the AI must remember the past to predict the future. Wan 2.2 solves this with industry-leading long-context understanding.

The Wan 2.2 model is packed with features designed for professional-grade video generation. From its foundational architecture to its user-facing capabilities, every aspect is engineered for excellence.
At the heart of Wan 2.2 is a sophisticated MoE transformer design. This allows the model to scale up its parameters significantly while keeping inference costs low. Different parts of the network specialize in different tasks—some for texture, some for motion, some for semantic understanding—resulting in a smarter, more capable AI.
While text-to-video is powerful, video-to-video (extension) opens new doors. Users can provide a starting video, and the model acts as a virtual cinematographer, continuing the shot. This is crucial for fixing clips that ended too soon or for stitching together a cohesive story from short segments.
You aren't limited to just 'more of the same'. You can use text prompts to steer the extension. For example, if your video shows a car driving, you can prompt 'the car turns onto a dirt road', and the extension will attempt to follow that narrative thread while maintaining visual consistency.
Wan 2.2 supports mainstream resolutions like 720p and 1080p. It uses a robust 3D VAE for video encoding and decoding, ensuring that the generated frames are crisp, artifact-free, and temporally stable. Say goodbye to flickering backgrounds and morphing objects.
From fast-paced action sequences to slow, emotional close-ups, Wan 2.2 handles temporal dynamics with grace. It understands the physics of motion, ensuring that gravity, momentum, and biological movements look natural and convincing.
Trained on a massive dataset of high-quality videos and images, the model has a vast internal library of visual concepts. This allows it to generate realistic extensions for a wide variety of subjects, from photorealistic humans to stylized anime and abstract art.
Don't let your stories end too soon. Use Wan 2.2 Video Extend to create longer, more immersive video content today.