Training-free image inversion for one-step diffusion models
The TFinv framework introduces a training-free method to invert images into their initial noise representations for one-step diffusion models. It uses iterative noise alignment and suffix learning to fix issues like poor initial latent editability and caption misalignment. This allows for accurate image reconstruction and seamless editing by modifying text prompts.