Injecting Image Guidance into Text-Conditioned Diffusion Models at Inference 事件

Injecting Image Guidance into Text-Conditioned Diffusion Models at Inference arXiv:2605.25191v1 Announce Type: new Abstract: Text-to-image diffusion models like Stable Diffusion generate high-quality images from text, but lack a way to inject visual guidance (e.g. sketches, styles) at inference without retraining. Existing methods either require computationally expensive fine-tuning or rely on style transfer techniques that risk semantic misalignment with textual prompts. We introduce Visual Co