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Abstract-LoRA Method Targets U-Net Blocks for Single-Image Style Transfer
A new arXiv paper introduces Abstract-LoRA, a technique that adapts diffusion models for style transfer using only a single reference image. Rather than fine-tuning the whole network, the approach concentrates training on selected U-Net blocks, which the authors present as a way to bypass the data demands of existing multi-image style transfer pipelines. The work is a preprint and has not yet been peer reviewed.