ReX_Upscale is a fine-tuned super-resolution model based on the Real-ESRGAN architecture. It was trained on the high-quality DIV2K dataset (DIV2K dataset link), which includes 800 high-resolution training images and their corresponding low-resolution counterparts, along with 100 validation images.
Note
THIS IS AN IMAGE UPSCALE MODEL NOT A VIDEO UPSCALE YOU MUST MAKE SUITABLE ADJSUTMENT IN NODES TO MSKE IT SUITABLE FOR VIDEO
The training was conducted on an NVIDIA Tesla T4 GPU. Although the training was not fully completed, the model achieved moderately good output quality. A more refined version of ReX_Upscale, trained with additional epochs and an expanded dataset, will be released in the future for improved performance
