EasyControl：讓DiT模型擁有ControlNet般強大操控，支持吉卜力畫風轉換
在人工智能繪畫領域，擴散模型（Diffusion Model）正經歷從基於Unet架構向基於Transformer架構(DiT)的轉變。然而，DiT生態系統在插件支持、效率以及多條件控制等方面仍面臨挑戰。近日，由Xiaojiu-z領銜的團隊推出了名爲EasyControl的創新框架，旨在爲DiT模型提供高效且靈活的條件控制能力，猶如爲DiT模型裝上了強大的“ControlNet”。EasyControl的核心優勢EasyControl並非簡單的模型疊加，而是一套經過精心設計的統一條件DiT框架。其核心優勢在於通過引入輕量級的條件注入LoRA模塊（Condition Injection LoRA mod
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