AutoLoRA uses a learned encoder to map LoRA weights and text prompts into one embedding space for retrieval, and then fuses the retrieved LoRAs with per-dimension learned gates during generation.
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AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation
AutoLoRA uses a learned encoder to map LoRA weights and text prompts into one embedding space for retrieval, and then fuses the retrieved LoRAs with per-dimension learned gates during generation.