Bringing Nunchaku 4-bit Diffusion Inference to Diffusers

This post introduces the integration of Nunchaku 4-bit diffusion inference into the Diffusers library. It details the technical aspects of using Nunchaku for optimized inference, likely involving quantization techniques and specific kernel implementations to reduce memory footprint and improve speed for diffusion models. The post demonstrates the practical application of this optimization with a specific model (OzzyGT/Krea_2_Turbo_nunchaku_lite_nvfp4).