Search Results for "telegram source code"

ComfyUI-SeedVR2 Video Upscaler is an open-source integration node for the ComfyUI workflow environment that brings the advanced SeedVR2 video upscaling and restoration model directly into visual AI pipelines. This project packages the SeedVR2 architecture as a custom node for ComfyUI, letting users upscale low-resolution video or imagery inside a node-based interface without needing to write code manually.

...The cleaned video is rebuilt and exported with original quality. Includes a precompiled Windows EXE for normal users (no Python required) and full source code for developers or students. Perfect for YouTubers, video editors, educators, and open-source enthusiasts. 🖥️ Website: https://projectworlds.in 📺 YouTube: https://youtube.com/@projectworlds 📬 Support: https://projectworlds.in/contact-us

...Simply match your audio files with corresponding images, and let the program handle the rest. Ideal for content creators who need to process multiple audio files without the hassle of manual video editing. Works on Windows 7 and above. (Source code is included with the program .zip file.)

...The result is a fully edited trailer that you can directly upload to youtube, showing off pure gameplay footage, attracting attention with an exciting message slide after the first clip and finishing the movie off with an ending slide with a clear call-to-action. Record your clips with ShareX, prepare images/sounds, 2 of each, and run this program to put em all together! (Source code is included with the program .zip file.)

DeepFaceLab is currently the world's leading software for creating deepfakes, with over 95% of deepfake videos created with DeepFaceLab. DeepFaceLab is an open-source deepfake system that enables users to swap the faces on images and on video. It offers an imperative and easy-to-use pipeline that even those without a comprehensive understanding of the deep learning framework or model implementation can use; and yet also provides a flexible and loose coupling structure for those who want to strengthen their own pipeline with other features without having to write complicated boilerplate code.