  Current image editing methods primarily utilize DDIM Inversion, employing a
two-branch diffusion approach to preserve the attributes and layout of the
original image. However, these methods encounter challenges with non-rigid
edits, which involve altering the image's layout or structure. Our
comprehensive analysis reveals that the high-frequency components of DDIM
latent, crucial for retaining the original image's key features and layout,
significantly contribute to these limitations. Addressing this, we introduce
FlexiEdit, which enhances fidelity to input text prompts by refining DDIM
latent, by reducing high-frequency components in targeted editing areas.
FlexiEdit comprises two key components: (1) Latent Refinement, which modifies
DDIM latent to better accommodate layout adjustments, and (2) Edit Fidelity
Enhancement via Re-inversion, aimed at ensuring the edits more accurately
reflect the input text prompts. Our approach represents notable progress in
image editing, particularly in performing complex non-rigid edits, showcasing
its enhanced capability through comparative experiments.
