In the visual effects (VFX) industry, the OpenEXR file format plays a crucial role during post-production stages by efficiently storing multiple data types such as color, depth, and normal maps in a layered structure. Traditional methods of upscaling low-resolution EXR files to high-resolution often result in delays due to inadequate handling of multi-layered images. This paper introduces an innovative approach utilizing Real-Enhanced Super-Resolution Generative Adversarial Network (Real-ESRGAN) to upscale each layer of EXR files independently and then reassemble them, effectively enhancing the overall resolution while maintaining the integrity of each layer. Our method, integrated into a plugin for Foundry’s NUKE, not only accelerates rendering times but also significantly improves the quality of the final images, providing a scalable solution for the VFX pipeline. Experimental results demonstrate marked improvements over traditional techniques, offering a pragmatic approach to handling complex, multi-layered image formats within tight production timelines.