Hair editing is a critical image synthesis task that aims to edit hair color and hairstyle using textdescriptions orreference images, while preserving irrelevant attributes(e.g.,identity,background,cloth).

Harmony (A TIH) to generate novel and surprising objects.

For image editing, it also excels in complex editing tasks. 2 Therefore, it is nearly impossible for a well-trained model to meet all human requirements, and the

In this paper, we delve into the computation graph of the language model to uncover the knowledge circuits that are instrumental in articulating specific knowledge.

We address these challenges by investigating the primary contributors to error accumulation in DDIM inversion and identify the singularity problem in traditional noise schedules as a key issue.