使用 T2I-Adapters 實現 SDXL 的高效可控圖像生成
Original: Efficient Controllable Generation for SDXL with T2I-Adapters
This technical article introduces T2I-Adapters (Text-to-Image Adapters) designed specifically for Stable Diffusion XL (SDXL). As SDXL has…
Hugging Face 宣布與騰訊 ARC 實驗室合作，將 T2I-Adapter 引入 Stable Diffusion XL (SDXL)。相較於體積龐大的 ControlNet，T2I-Adapter 僅有約 79M 參數，能在不犧牲生成品質的前提下，大幅降低顯示記憶體（VRAM）佔用並提升推理速度。目前已支援 Canny 邊緣偵測、草圖（Sketch）、深度圖（Depth）等多種控制模式，並已整合至 diffusers 函式庫中。
This technical article introduces T2I-Adapters (Text-to-Image Adapters) designed specifically for Stable Diffusion XL (SDXL). As SDXL has become the new standard in open-source image generation, the question of how to achieve precise spatial guidance (such as edge, pose, depth, etc.) has become increasingly important. While ControlNet offers powerful control, its large parameter footprint — made even heavier when combined with SDXL — places extremely high demands on hardware resources.
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