ID-LoRA (Identity-Driven In-Context LoRA) jointly generates a subject's appearance and voice in a single model, letting a text prompt, a reference image, and a short audio clip govern both modalities together. Built on top of LTX-2.3, it is the first method to personalize visual appearance and voice within a single generative pass.