TLoRA combines a tensor-ring-matrix transform with a tensor-ring residual to fine-tune text-to-image models, achieving better or comparable performance than LoRA with far fewer parameters.
Para: Personalizing text-to-image diffusion via parameter rank reduction
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Transformed Low-rank Adaptation via Tensor Decomposition and Its Applications to Text-to-image Models
TLoRA combines a tensor-ring-matrix transform with a tensor-ring residual to fine-tune text-to-image models, achieving better or comparable performance than LoRA with far fewer parameters.