Explanation of INT8 ConvRot (FP8 is no longer needed)
Summary
INT8 ConvRot is presented as an 8-bit quantization approach that uses convolution-rotation to distribute outliers, enabling INT8 models to approach or surpass FP8 performance. The article explains model storage formats, how ConvRot differs from standard INT8 and FP8, and how to use it with ComfyUI and Forge Neo, including hardware and software prerequisites and notes from Reddit on speed and accuracy.