A consolidation of various compiled open-source AI image/video upscaling product for a working CLI friendly image and video upscaling program.
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Updated
May 8, 2025 - Shell
A consolidation of various compiled open-source AI image/video upscaling product for a working CLI friendly image and video upscaling program.
AI Upscaler Soft is a powerful and user-friendly desktop application designed to help users enlarge, enhance, and restore images and videos to stunning 4K/8K resolutions easily.
TensorRT implementation of the waifu2x super-resolution model for faster image and video upscaling.
An Electron GUI to upscale images / videos using multiple different algorithms
A temporal video upscaler based on SPAN
Collection of video process module such as compression, upscale, interpolation and stream manipulation.
An AI driven Video manipulation toolkit
An expert-level, fully automated 4K upscaling workflow for video remastering on macOS. This project uses CLI scripts, VapourSynth, FFmpeg, and Topaz Video AI (with Real-ESRGAN as an alternative) along with systematic matrix testing to optimize deinterlacing, AI upscaling, and final color grading parameters.
Sligthly improved version of Real-ESRGAN ncnn Vulkan with additional features like piping.
A lightweight Streamlit UI around Real-ESRGAN for upscaling videos and images.
Pack video frame differences into a single frame for efficient video upscaling.
Video upscaler (cli/gui)
High-fidelity video pipeline combining Real-ESRGAN upscaling, RIFE interpolation, and Whisper captioning. Features OpenCV analysis, adaptive HLS packaging, and VMAF verification for automated, production-grade enhancement.
C# implementation of DifFrame utility
Official python SDK for Xysera.
Python project to either compress a video file to the limit you want or to translate subtitle file. It now includes video upscaling
VidFlowLab 桌面版官方仓库 / Release Download
Quick and dirty command line for Venice AI upscaling.
free 4k video enhancher
🔍 Enhance AI-generated videos with this ComfyUI workflow for high-quality upscaling using progressive magnification and the WAN model.
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