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REAL Video Enhancer
REAL Video Enhancer processes video through interpolation, upscaling, decompression, and denoising on Linux, Windows, and macOS.

About REAL Video Enhancer
REAL Video Enhancer processes video with frame interpolation, upscaling, decompression, and denoising on Linux, Windows, and macOS. It includes multiple interpolation, upscale, decompression, and denoise models and supports TensorRT, PyTorch with CUDA/ROCm, and NCNN backends.
Use requires compatible hardware, including a Vulkan 1.3 capable GPU, with higher VRAM and storage needs for TensorRT. TensorRT runs optimization once per input resolution before inference, and limited VRAM can cause optimization to fail.
Key features
- Frame interpolation, such as 24 FPS to 48 FPS
- Video upscaling, such as 1920 pixels to 3840 pixels
- Video decompression using DeH264 model
- Video denoising using DRUnet and DnCNN models
- Scene change detection to preserve sharp transitions
- Preview showing latest rendered frame
- Available for Linux, Windows, and macOS, including Ubuntu 22.04+ and macOS 15+ builds
- Includes multiple interpolation, upscale, decompression, and denoise models
- Supports TensorRT, PyTorch, and NCNN backends for different GPUs
- Minimum requirements include Vulkan 1.3 capable GPU and 16 GB RAM
- TensorRT performs device optimization once per input resolution before inference starts
- TensorRT optimization can fail with limited VRAM, requiring CUDA or NCNN instead
REAL Video Enhancer at a glance
- Category
- Software & Utilities › Linux Apps
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Platforms
- Linux, macOS, Windows
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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REAL Video Enhancer FAQ
What does this program do?
Why does TensorRT take long to begin inference?
Why does TensorRT optimization or inference fail?
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