This is the Linux app named WanGP whose latest release can be downloaded as Wan2GPsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named WanGP with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.
- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application, install it and run it.
SCREENSHOTS:
WanGP
DESCRIPTION:
Wan2GP is an open source AI video generation toolkit designed to make modern generative models accessible on consumer-grade hardware with limited GPU memory. It acts as a unified interface for running multiple video, image, and audio generation models, including Wan-based models as well as other systems like Hunyuan Video, Flux, and Qwen. A key focus of the project is reducing VRAM requirements, enabling some workflows to run on as little as 6 GB while still supporting older Nvidia and certain AMD GPUs. Wan2GP provides a full web-based interface that simplifies interaction with complex generative pipelines, making it easier to configure prompts, models, and rendering settings. It also integrates a wide range of utilities such as prompt enhancement, mask editing, motion design, and extraction tools for pose, depth, and flow data to support advanced video workflows.
Features
- Low VRAM support with some models running on ~6 GB GPUs
- Web-based interface for managing prompts, models, and outputs
- Support for multiple generative models including video, image, and audio
- Built-in tools like mask editor, prompt enhancer, and motion designer
- Plugin system with tools such as upscalers and model managers
- Task queuing and headless mode for batch generation workflows
Programming Language
C, JavaScript, Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/wangp.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.