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Diffu-LoRA: A Novel Low-Rank Adaptation for Personalized Diffusion Models
Personalizing text-to-image diffusion models from a few reference images requires preserving subject identity while following prompts that describe new contexts. Full-model fine-tuning is parameter-intensive, whereas low-rank adaptation (LoRA) reduces the number of trainable parameters but leaves op
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