CharCom: Composable Identity Control for Multi-Character Story Illustration Article Swipe

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Ming-Yi Lin , Z Lin , A. Loi , Jiamou Liu ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.48550/arxiv.2510.10135

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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Type: preprint
Language: en
Landing Page: http://arxiv.org/abs/2510.10135
PDF: https://arxiv.org/pdf/2510.10135
OA Status: green
OpenAlex ID: https://openalex.org/W4417100163

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DOI: https://doi.org/10.48550/arxiv.2510.10135

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Title: CharCom: Composable Identity Control for Multi-Character Story Illustration

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Type: preprint

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Language: en

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Publication year: 2025

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Publication date: 2025-10-11

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Authors: Ming-Yi Lin, Z Lin, A. Loi, Jiamou Liu

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Landing page: https://arxiv.org/abs/2510.10135

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PDF URL: https://arxiv.org/pdf/2510.10135

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OA status: green

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OA URL: https://arxiv.org/pdf/2510.10135

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Cited by: 0

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