#Editing

MasaCtrl's tuning-free self-attention control revolutionizes non-rigid image synthesis and editing by integrating source image content with synthesized layouts through prompts and additional controls. This method ensures consistent modifications without fine-tuning, and seamlessly integrates with controllable diffusion models such as T2I-Adapter and ControlNet. Versatile in nature, it supports video synthesis and adapts well to various Stable Diffusion models, including Anything-V4. Designed for use with Python 3.8.5 and Pytorch 1.11, MasaCtrl effortlessly incorporates into existing workflows to deliver reliable results.