Smooth-Diffusion
Smooth Diffusion optimizes latent space in diffusion models to enhance image interpolation, reduce errors in inversion, and maintain content integrity during editing. This Pytorch implementation includes a Gradio demo and supports training and inference, now utilizing Realistic Vision V2.0 as its default model. Its acceptance at CVPR 2024 underscores its innovative contribution to the field.
