AI RESEARCH
AnimeAdapter: Fine-grained and Consistent Zero-shot Anime Character Generation
arXiv CS.CV
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ArXi:2605.20237v1 Announce Type: new We present a lightweight appearance adapter for Stable Diffusion that enables controllable and consistent anime character generation under diverse editing conditions. Instead of relying on large-scale vision-language models or per-subject fine-tuning, our method injects fine-grained visual features from a single reference image into the diffusion process. Based on CLIP emergent local spatialization, we develop semantic-selective local attention.