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arXiv · 2510.10135

CharCom: Composable Identity Control for Multi-Character Story Illustration

Zhongsheng Wang·Ming Lin·Zhedong Lin·Yaser Shakib·Qian Liu·Jiamou Liu
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Abstract

Ensuring character identity consistency across varying prompts remains a fundamental limitation in diffusion-based text-to-image generation. We propose CharCom, a modular and parameter-efficient framework that achieves character-consistent story illustration through composable LoRA adapters, enabling efficient per-character customization without retraining the base model. Built on a frozen diffusion backbone, CharCom dynamically composes adapters at inference using prompt-aware control. Experiments on multi-scene narratives demonstrate that CharCom significantly enhances character fidelity, semantic alignment, and temporal coherence. It remains robust in crowded scenes and enables scalable multi-character generation with minimal overhead, making it well-suited for real-world applications such as story illustration and animation.

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Zhongsheng Wang, Ming Lin, Zhedong Lin, Yaser Shakib, Qian Liu, Jiamou Liu. 2025-10-11. CharCom: Composable Identity Control for Multi-Character Story Illustration. https://arxiv.org/abs/2510.10135

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