PromptArtisan: Multi-instruction Image Editing in Single Pass with Complete Attention Control
Kunal Swami, Raghu Chittersu, Pranav Adlinge, Rajeev Irny, Shashavali Doodekula, Alok Shukla
Abstract
We present PromptArtisan, a groundbreaking approach to multi-instruction image editing that achieves remarkable results in a single pass, eliminating the need for time-consuming iterative refinement. Our method empowers users to provide multiple editing instructions, each associated with a specific mask within the image. This flexibility allows for complex edits involving mask intersections or overlaps, enabling the realization of intricate and nuanced image transformations. PromptArtisan leverages a pre-trained InstructPix2Pix model in conjunction with a novel Complete Attention Control Mechanism (CACM). This mechanism ensures precise adherence to user instructions, granting fine-grained control over the editing process. Furthermore, our approach is zero-shot, requiring no additional training, and boasts improved processing complexity compared to traditional iterative methods. By seamlessly integrating multi-instruction capabilities, single-pass efficiency, and complete attention control, PromptArtisan unlocks new possibilities for creative and efficient image editing workflows, catering to both novice and expert users alike.
BibTeX
@inproceedings{icassp2025_promptartisanmul,
title = {PromptArtisan: Multi-instruction Image Editing in Single Pass with Complete Attention Control},
author = {Kunal Swami and Raghu Chittersu and Pranav Adlinge and Rajeev Irny and Shashavali Doodekula and Alok Shukla},
booktitle = {ICASSP 2025},
year = {2025}
}