AI RESEARCH
Training-Free Multi-Concept LoRA Composition with Prompt-Aware Weighting
arXiv CS.LG
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ArXi:2606.03792v1 Announce Type: cross Low-Rank Adaptation (LoRA) successfully enables personalization in text-to-image generation by adapting pre-trained diffusion models to specific visual concepts and styles. However, extending such models to multi-concept customization remains challenging. Naively combining multiple LoRA weights or their outputs often leads to interference among concepts, resulting in degraded visual quality and reduced fidelity to the reference images of individual concepts.