Wan: Open and Advanced Large-Scale Video Generative Models
Generate video from an image
Apply the motion of a video on a portrait
Wan: Open and Advanced Large-Scale Video Generative Models
Images To Convert Videos
Generate video animations from image trajectories
Generate a video from a text prompt
Convert images to a video
Generate a video from a text prompt
Text-to-Video
Generate a 5-second video from an image
Image Generator with Stable Diffusion
Animate Your Pictures With Stable VIdeo DIffusion
Wan2.1 is an advanced, open-source large-scale video generative model designed to create videos from images or text. It is part of the Wan series, which focuses on generating high-quality, dynamic video content using state-of-the-art AI technology. Wan2.1 is ideal for creators, developers, and researchers looking to transform static images or textual descriptions into engaging video outputs.
• Image-to-Video Conversion: Convert still images into dynamic video sequences.
• Text-to-Video Generation: Create videos based on textual descriptions or prompts.
• Customizable Output: Adjust video length, resolution, and style to meet specific needs.
• Open-Source Accessibility: Free and accessible for developers and researchers to modify and improve.
• High-Resolution Videos: Generate videos with high-quality resolution for professional use.
• Cross-Platform Compatibility: Runs seamlessly on multiple operating systems and hardware configurations.
• User-Friendly Interface: Simplified workflow for both novice and advanced users.
1. Can I use Wan2.1 for commercial purposes?
Yes, Wan2.1 is open-source and allows for commercial use, making it a versatile tool for both personal and professional projects.
2. What formats does Wan2.1 support for input and output?
Wan2.1 supports standard image formats like PNG, JPG, and MP4 for video outputs, ensuring compatibility with most workflows.
3. Is Wan2.1 available on all platforms?
Wan2.1 can run on multiple platforms, including Windows, macOS, and Linux, provided the system meets the required hardware specifications.