Wan 2.6
Alibaba's powerful multimodal AI model that generates cinematic 1080p video with native audio synchronization, multi-shot storytelling, and advanced image creation.
Wan 
WaveSpeed Cinematic 1080p video and image generation
Wan 2.6 is a multimodal AI generation model developed by Alibaba Cloud and released in December 2025. It uses a Mixture-of-Experts architecture with 14 billion total parameters, activating roughly 20% of them during inference. The model supports text-to-video, image-to-video, reference-to-video, and image generation modes, and accepts prompts in both English and Chinese. Video outputs can reach up to 15 seconds at 1080p resolution and 24 frames per second.
What distinguishes Wan 2.6 from many generation models is its native audio output — synchronized dialogue, sound effects, and lip-sync are generated alongside video without requiring separate post-production tools. The model also supports multi-shot storytelling from a single prompt, maintaining character consistency across scenes with automatic camera transitions. It is well suited for content creators, marketers, and developers who need high-fidelity video and image output, particularly those aiming to produce publish-ready content with minimal manual editing.
What Wan 2.6 supports
Text-to-Video
Generates video clips from text prompts at up to 1080p resolution and 24 fps, with clips reaching up to 15 seconds in length.
Native Audio Sync
Produces synchronized audio — including dialogue, sound effects, and lip-sync — directly alongside generated video without external dubbing tools.
Image-to-Video
Animates a source image into a video clip while preserving the subject's appearance and style from the input reference.
Image Generation
Supports text-to-image, image-to-image transformation, and image editing at resolutions up to 2048×2048 pixels.
Multi-Shot Storytelling
A single prompt can produce multi-scene narratives with automatic camera transitions and consistent characters across shots.
Reference-to-Video
Accepts uploaded reference images or video to maintain subject appearance, style, and motion consistency across generated outputs.
Prompt Expansion
Optional AI-powered prompt expansion enriches short or simple text inputs to improve output quality and detail.
Seed Control
Accepts a seed value as input, allowing reproducible generation results for iterative creative workflows.
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Get Started FreeCommon questions about Wan 2.6
What is the context window for Wan 2.6?
Wan 2.6 has a context window of 2,000 tokens, which applies to text prompt inputs.
What input types does Wan 2.6 accept?
The model accepts image URL arrays, numeric values (such as width and height dimensions), text prompts, and a seed value for reproducible outputs.
What is the training data cutoff for Wan 2.6?
According to the available metadata, Wan 2.6 has a training date of December 2025.
What video resolution and length does Wan 2.6 support?
Wan 2.6 can generate video at up to 1080p resolution and 24 frames per second, with clips up to 15 seconds long.
Does Wan 2.6 support languages other than English?
Yes, Wan 2.6 accepts prompts in both English and Chinese.
What architecture does Wan 2.6 use?
Wan 2.6 uses a Mixture-of-Experts (MoE) architecture with 14 billion total parameters, activating approximately 20% of them during each generation pass for improved inference speed.
What people think about Wan 2.6
Community discussion around Wan 2.6 on Reddit was generally positive, with users highlighting the model's native audio synchronization and 1080p video output as notable features. The thread gained 231 upvotes and 78 comments, reflecting meaningful interest following the model's early API availability ahead of its official launch event.
Some users framed the release in the context of competition with other video generation systems, though specific technical limitations were not widely documented in the thread. The early API drop before the official announcement was a common point of discussion, with developers expressing interest in testing the model's multi-shot and lip-sync capabilities.
Parameters & options
Description of what to exclude from the video.
A specific value that is used to guide the 'randomness' of the generation.
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