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Create a video from an image
Wan2.1

Wan2.1

Wan: Open and Advanced Large-Scale Video Generative Models

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What is Wan2.1 ?

Wan2.1 is an advanced AI tool under the Wan platform, designed to generate videos from text or images. It is part of a larger family of open and scalable large-scale video generative models, focusing on creating dynamic video content from static inputs. With its cutting-edge technology, Wan2.1 simplifies the process of turning imagination into motion, making it accessible for creators, developers, and users alike.

Features

• Video Generation from Text/Images: Convert text prompts or images into high-quality video content.
• Open-Source Accessibility: Built on open-source principles, allowing customization and integration with other tools.
• Scalable Models: Supports varying levels of complexity, from simple clips to intricate scenes.
• Advanced Customization: Fine-tune settings like duration, resolution, and style to match your vision.

How to use Wan2.1 ?

  1. Install the Required Tools: Download and install Wan2.1 from its official repository or platform.
  2. Input Your Prompt/Image: Provide a text description or upload an image to serve as the base for your video.
  3. Customize Settings: Adjust parameters such as video length, resolution, and style to achieve the desired output.
  4. Generate Video: Initiate the generation process and wait for the AI to create your video.
  5. Export and Share: Download the generated video and share it across platforms or use it in your projects.

Frequently Asked Questions

What are the system requirements for running Wan2.1?
Wan2.1 requires a modern GPU with sufficient VRAM (推荐 NVIDIA GPUs with at least 8GB of memory) and a compatible operating system like Ubuntu or Windows 10.

Can I customize the output style of the generated videos?
Yes, Wan2.1 allows users to adjust styles, resolution, and other parameters to tailor the output to their creative needs.

Where can I find support or report issues with Wan2.1?
Support and issue reporting can be handled through the official Wan community forum, GitHub repository, or dedicated support channels.

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