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To extend EUV coronal context into earlier periods, we leverage the multi-decade availability of full-disk \\HeI{} observations, whose absorption is modulated by coronal irradiance and magnetic topology and is widely used as a proxy for open-field regions. We present a diffusion-based conditional image translation framework, Coronal Hole-aware Diffusion Model Translator (CH-aware DMT), to reconstruct synthetic SDO/AIA 193 \\AA{} EUV images from \\HeI{} inputs. The model is trained on temporally co-aligned SOLIS \\HeI{} and AIA 193 \\AA{} pairs spanning 2011--2015 using a month-based split, where January--October are used for training, November is used for validation, and December for testing. 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