Wan: Open and Advanced Large-Scale Video Generative Models
TO GENRATE TRAILER
Generate a video from an image and prompt
Generate a video from a text prompt and image
Image Generator with Stable Diffusion
Video gen using SkyReels model from HunyuanVideo.
Wan: Open and Advanced Large-Scale Video Generative Models
Images To Convert Videos
Apply the motion of a video on a portrait
Generate videos from text or images
First use
Create dynamic images and videos from text prompts
All images and animated first working
Wan2.1 is an advanced AI tool designed to generate high-quality videos from images or text descriptions. It is part of the Wan series, which focuses on open and large-scale video generative models. This technology enables users to create dynamic video content from static images or textual inputs, making it a powerful tool for creators, marketers, and innovators.
• Video Generation from Images: Transform static images into engaging videos with realistic animations and transitions.
• Text-to-Video Synthesis: Create videos from textual descriptions, allowing for customizable and context-specific content.
• High-Quality Output: Produce videos with high resolution and realism, suitable for professional use.
• Customizable Options: Adjust settings such as duration, style, and additional elements to tailor the output to your needs.
• Scalable and Open-Source: Built on advanced AI architecture, Wan2.1 supports large-scale applications while remaining accessible for developers and researchers.
What are the system requirements for using Wan2.1?
Wan2.1 is a cloud-based tool, so it requires a stable internet connection. It is optimized for modern browsers and does not require additional software installation.
Can I customize the video after generation?
Yes, Wan2.1 allows you to adjust settings before generation, but for post-generation edits, you may need to use video editing software.
What types of images or text work best with Wan2.1?
High-quality images with clear subject matter work best. For text inputs, detailed and descriptive prompts yield better results.