PromptArtisan: Multi-instruction Image Editing in Single Pass with Complete Attention Control
Kunal Swami, Raghu Chittersu, Pranav Adlinge, Rajeev Irny, Shashavali, Doodekula, Alok Shukla

TL;DR
PromptArtisan introduces a single-pass, multi-instruction image editing method that offers precise, complex transformations with complete attention control, eliminating iterative refinement and requiring no additional training.
Contribution
It presents a novel Complete Attention Control Mechanism enabling multi-instruction, mask-based image editing in a single pass without extra training.
Findings
Achieves complex, multi-instruction edits in one pass
Provides fine-grained control over image transformations
Operates zero-shot without additional training
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…
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Taxonomy
TopicsMedical Image Segmentation Techniques · Advanced Neural Network Applications · Cell Image Analysis Techniques
MethodsSoftmax · Attention Is All You Need
