Wan AI Video Generator

About Wan AI Video Generator

Wan AI Video Generator is a platform powered by Wan 3.0 that creates cinematic videos from various inputs. Users can generate videos from text prompts, images, or reference media with support for up to 30 seconds of output and native audio in a single pass.

The platform offers multiple AI models including Wan 3.0, Wan 2.7, and earlier versions. Professional-grade features include cinema-quality visual effects with detailed hair physics, realistic motion trajectories, and multi-style generation in English and Chinese. The technology uses proprietary VAE and Dynamic Image Transformer architecture for efficient processing.

Creators can work with flexible input types including start and end frames, reference images and videos. The workspace allows selection of models, resolution, duration, and provides credit cost estimates before generation. Video effects and image generation workflows are also available.

Wan AI supports both monthly subscriptions with credit allowances and one-time credit packages that never expire. Commercial licenses are included with all plans.

• image to video
• video-generation
• ai video
• cinematic
• reference video
• motion control
• text to video

FAQ

What can I create with Wan AI?

You can create videos from text, images, or reference media, generate images, and use supported editing and effects workflows. Available inputs and controls depend on the model you select.

How do credits work?

The credit cost depends on your selected model and output settings. You should review the cost before confirming a generation. The pricing page explains monthly plans and one-time credit packages.

Do one-time credits expire?

One-time credit packages provide permanent credits that never expire and stay in your account until you use them. Monthly subscription credits follow the subscription billing period.

Which video lengths and resolutions are available?

Duration and resolution options vary by model and workflow. You should check the controls for your selected model before generating, as the same settings are not available for every model.

How can I improve a result?

Describe the subject, setting, and intended motion clearly. Use suitable reference media, review the model guidance, and refine one part of your prompt or settings at a time, as results can vary between generations.