Wan: Open and Advanced Large-Scale Video Generative Models
Generate videos from images with control
Wan: Open and Advanced Large-Scale Video Generative Models
Generate a video from text and image input
Generate a video from an input image and prompt
Generate video animations from image trajectories
Create a video from an image with camera motion
Generate video from text description
First use
for ai school project
Generate video from image
Wan: Open and Advanced Large-Scale Video Generative Models
Wan: Open and Advanced Large-Scale Video Generative Models
Wan2.1 is an advanced, open-source large-scale video generative model designed to create videos from text or image prompts. It is part of the Wan series, known for its cutting-edge capabilities in generating high-quality video content. Wan2.1 is built to be user-friendly and accessible, making it suitable for both professionals and amateurs looking to turn their ideas into dynamic video content.
• Text-to-Video Generation: Convert text prompts into engaging videos with customizable styles and themes.
• Image-to-Video Conversion: Transform still images into moving videos with optional text guidance.
• Customization Options: Adjust resolution, duration, and other parameters to tailor the output to your needs.
• High-Quality Output: Produces videos with improved clarity and coherence compared to earlier models.
• Compatibility: Works seamlessly with existing tools and frameworks for enhanced workflows.
• Open-Source: Freely available for use, modification, and distribution, fostering community-driven innovation.
What is the difference between Wan2.1 and earlier versions?
Wan2.1 offers improved video quality, faster generation times, and enhanced customization options compared to its predecessors.
Do I need to install Wan2.1 to use it?
Yes, you need to install Wan2.1 to generate videos. However, some platforms may provide web-based access without requiring a local installation.
Can I generate videos longer than a few seconds with Wan2.1?
Yes, Wan2.1 supports longer video generation, but the maximum duration may depend on the computational resources and settings you use.