In recent years, groundbreaking advancements in Generative Artificial
Intelligence (GenAI) have triggered a transformative paradigm shift,
significantly influencing various domains. In this work, we specifically
explore an integrated approach, leveraging advanced techniques in GenAI and
computer vision emphasizing image manipulation. The methodology unfolds through
several stages, including depth estimation, the creation of inpaint masks based
on depth information, the generation and replacement of backgrounds utilizing
Stable Diffusion in conjunction with Latent Consistency Models (LCMs), and the
subsequent replacement of clothes and application of aesthetic changes through
an inpainting pipeline. Experiments conducted in this study underscore the
methodology's efficacy, highlighting its potential to produce visually
captivating content. The convergence of these advanced techniques allows users
to input photographs of individuals and manipulate them to modify clothing and
background based on specific prompts without manually input inpainting masks,
effectively placing the subjects within the vast landscape of creative
imagination.

通过整合先进的生成人工智能（GenAI）和计算机视觉技术，本研究探索了一种综合方法，重点是图像操作。研究的有效性在实验中得到验证，强调了其在生成引人注目内容方面的潜力，使用户能够根据特定提示对个人照片进行服装和背景的修改，无需手动输入修复遮罩，从而有效地将主题植入创意想象的广阔景观中。