字節和中國科大出品！VMix：提升擴散模型美學的擴展，即插即用
在文本生成圖像的領域，擴散模型展現出了非凡的能力，但在美學圖像生成方面仍存在一定的不足。最近，來自字節跳動和中國科學技術大學的研究團隊提出了一種名爲 “Cross-Attention Value Mixing Control”（VMix）適配器的新技術，旨在提升生成圖像的質量，並保持對各種視覺概念的通用性。VMix 適配器的核心思想在於，通過設計優越的條件控制方法，增強現有擴散模型的美學表現，同時確保圖像與文本之間的對齊。該適配器主要通過兩個步驟實現其目標:首先，它通過初始化美學嵌入，將輸入
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