This is the Windows app named HunyuanVideo whose latest release can be downloaded as HunyuanVideosourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named HunyuanVideo 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 any OS OnWorks online emulator from this website, but better Windows online emulator.
- 5. From the OnWorks Windows 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 and install it.
- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.
Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.
SCREENSHOTS
Ad
HunyuanVideo
DESCRIPTION
HunyuanVideo is a cutting-edge framework designed for large-scale video generation, leveraging advanced AI techniques to synthesize videos from various inputs. It is implemented in PyTorch, providing pre-trained model weights and inference code for efficient deployment. The framework aims to push the boundaries of video generation quality, incorporating multiple innovative approaches to improve the realism and coherence of the generated content.
Features
- Large video generative model with ~13B parameters for text-to-video generation
- Support for image-to-video (I2V), audio-driven human animation (Avatar), custom video generation modules (HunyuanCustom etc.)
- Open-sourced inference / sampling code, pretrained weights, model definitions
- Integrated into Diffusers library (open source community tools)
- Release of FP8 model weights to reduce GPU memory usage / improve efficiency
- Parallel inference code to speed up sampling, utilities and tests included
- Implements a large-scale video generation model using deep learning.
- Community contributions extend functionality with custom wrappers and models.
- Optimized for GPU memory efficiency, with FP8 model weights for faster processing.
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/hunyuanvideo.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
