Figure 1: Digital art paintings generated by the proposed multimodal guided artwork diffusion (MGAD) model.

Fig. 1. The results of the proposed region-aware diffusion model (RDM). The texts adhere to the phrase rule "A → B", indicating that RDM transforms entity A into entity B.Image manipulation under the guidance of textual descriptions has recently received a broad range of attention. In this study, we focus on the regional editing of images with the guidance of given text prompts. Different from current mask-based image editing methods, we propose a novel region-aware diffusion model (RDM) for entity-level image editing, which could automatically locate the region of interest and replace it following given text prompts. To strike a balance between image fidelity and inference speed, we design the intensive diffusion pipeline by combing latent space diffusion and enhanced directional guidance. In addition, to preserve

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