CLoRA: A Contrastive Approach to Compose Multiple LoRA Models

arXiv:2403.19776v1 Announce Type: cross
Abstract: Low-Rank Adaptations (LoRAs) have emerged as a powerful and popular technique in the field of image generation, offering a highly effective way to adapt and refine pre-trained deep learning models for specific tasks without the need for comprehensive retraining. By employing pre-trained LoRA models, such as those representing a specific cat and a particular dog, the objective is to generate an image that faithfully embodies both animals as defined by the LoRAs. However, the task …

abstract adapt arxiv cs.cv cs.lg deep learning image image generation lora low multiple popular refine retraining specific tasks tasks type