For example, hats and sunglasses are placed on incorrect objects. We introduce a novel method T oMeto address these challenges.

We then propose to employ layout, a very abstract and easy-to-obtain prior, as the spatial guidance for subject arrangement.

This paper analyzes the impact of causal manner in the text encoder of text-to-image (T2I) diffusion models, which can lead to information bias and loss.

Despite the success of DPM in practice, the mechanism behind it remains to be explored.

According to our experimental findings, inaccurate cross-attention maps are at the root of this problem.

Ouranalysis include examination of the cross-attention maps of the learned prompts at individual time steps of the denoising process.