Abstract: Single image super-resolution (SISR) aims to reconstruct a high-resolution image from its low-resolution observation. Recent deep learning-based SISR models show high performance at the ...

Abstract: Post-training neural network quantization (PTQ) is an effective model compression technology that has revolutionized the deployment of deep neural networks on various edge devices. It ...

SD.Next Quantization provides full cross-platform quantization to reduce memory usage and increase performance for any device. Triton enables the use of optimized kernels for much better performance.

This is a example to quantize onnx. The input is onnx of float. Quantization is done using onnxruntime. The output is onnx of int8. The default is to quantize using only 2 images, which is less ...