Scale-Separated Conditioning for Style-Encoder-Free Diffusion Stylization
SEFS (Style-Encoder-Free Stylization), a style-encoder-free conditioning framework for diffusion transformers, improves content consistency and leakage diagnostics while retaining reference-style affinity, and ablations support the crop-resolution, re-normalization, and skip-fusion choices.