This is the Windows app named JoyAI-Video-Edit whose latest release can be downloaded as JoyAI-Video-Editsourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named JoyAI-Video-Edit 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
JoyAI-Video-Edit
DESCRIPTION
JoyAI-Video-Edit is a real-time, instruction-guided system for editing open-ended video streams as frames arrive. It works with live camera feeds or uploaded videos without waiting for the entire sequence or knowing the final video length. Natural-language instructions can drive subject edits, local changes, background replacement, style transfer, motion changes, and reference-guided transformations. Its architecture combines a multimodal condition encoder, causal video VAE, and a 16B-parameter multimodal diffusion transformer. Autoregressive diffusion and bounded KV-state inference are used to keep computation stable across long streams. The released deployment reaches high-throughput 720p editing and also supports real-time operation on selected consumer GPUs. Updated checkpoints improve identity preservation, reference conditioning, and temporal consistency for reference-image-guided editing.
Features
- Real-time editing of live and uploaded video streams
- Natural-language control for open-ended video transformations
- Subject, object, background, style, and motion editing
- Reference-image-guided video editing with identity preservation
- Autoregressive diffusion with bounded KV-state inference
- High-throughput 720p deployment with consumer GPU support
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/joyai-video-edit.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
