Purpose
Wan AI is a one-stop generation platform for video and image creation, aggregating multiple AI models in the Wan series. It can be used to turn text prompts, static images, or existing videos into video content, and can also generate images and perform visual style transformations, making it suitable for creative projects, commercial content, and social media material production.
Main Capabilities
The platform provides a variety of generation tools:
- Text-to-video: Enter a text description to generate a video. The official examples list text-to-video examples corresponding to models such as Wan 2.1, Wan 2.2, Wan 2.5, and Wan 2.6.
- Image-to-video: Upload an image to turn it into a creative video with audio. The official description says it can generate realistic scenes or animated short films.
- Video-to-video: Upload a reference video and use AI for style re-creation and visual effect re-creation.
- Image generation and conversion: The official description mentions capabilities such as text-to-image and image-to-image.
The platform supports multiple input methods (text, images, videos, reference clips), and states that it can output 1080P HD video and 4K ultra-HD images. Generated results are watermark-free, and the official statement says they can be used for commercial purposes.
Available Models
The platform provides official Wan AI models, including:
- Wan 2.7 (mentioned in the model list and statistics, but no detailed description is provided)
- Wan 2.6: Can generate high-quality 1080p video, supports accurate lip sync, and can create content using text, audio, images, or reference clips.
- Wan 2.5: A new-generation AI video generation model that can generate high-quality video from text prompts, images, or reference inputs, with a focus on motion consistency, visual stability, and video structure control.
- Wan 2.2: An open-source AI video generation model that can create realistic videos from text, images, or mixed inputs, emphasizing cinematic image quality, motion realism, and computational efficiency.
- Wan 2.1: An early video generation model in the Wan series that turns text prompts and visual inputs into short videos, introducing a structured video diffusion pipeline and basic temporal modeling.
- Wan Animate: An animation system based on the Wan video model family, used for animation-style video generation. It can create animation sequences from text, images, or character references, with more controllable motion and more consistent style.
How to Use
The officially described usage process includes: choosing a creation mode or style, selecting a Wan AI model, and then starting generation. Text-to-video only requires entering a prompt; image-to-video requires uploading an image; video-to-video requires uploading a reference video. The platform interface is described as intuitive and requiring no professional technical knowledge. Generation timevaries depending on the model and content type, and most works can be completed within seconds to minutes.
Applicable Scenarios
The officially listed application scenarios include: creative video production, image and video style re-creation, commercial projects, marketing materials, social media content, and more. The official examples include generated results on a variety of themes such as people, animals, scenes, and vehicles.
Limitations and Notes
Regarding specific prices, paid plans, subscription models, specific output format details, API availability, and more, the materials do not currently provide information. The official description only mentions no watermark added, support for commercial use, output of 1080P video and 4K images, and relatively fast generation speed. Information such as specific model parameters, hardware requirements, and regional availability is not currently provided.
