FreeFlux: Understanding and Exploiting Layer-Specific Roles in RoPE-Based MMDiT for Versatile Image Editing

Tianyi Wei   Yifan Zhou   Dongdong Chen   Xingang Pan

S-lab, Nanyang Technological University; Microsoft GenAI

This repository hosts the official PyTorch implementation of the paper: "FreeFlux: Understanding and Exploiting Layer-Specific Roles in RoPE-Based MMDiT for Versatile Image Editing".

Leveraging the layer-specific roles in RoPE-based MMDiT we discovered, versatile training-free image editing is tailored to different task characteristics, including non-rigid editing, object addition, background replacement, object movement, and outpainting.