Researchers propose ProductConsistency, a method to improve product identity preservation in instruction-based image editing. The approach combines supervised fine-tuning and reinforcement learning to maintain product features, branding, and text. This addresses a gap in current models, which struggle with fine-grained object identity in product-centric scenarios. You can apply this method to enhance the reliability of image editing models.