Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and
Attribute Control
Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and
Attribute Control
Current face reenactment and swapping methods mainly rely on GAN frameworks, but recent focus has shifted to pre-trained diffusion models for their superior generation capabilities. However, training these models is resource-intensive, and the results have not yet achieved satisfactory performance levels. To address this issue, we introduce Face-Adapter, an efficient …