SliderSpace uses PCA on CLIP embeddings of a diffusion model's own samples, then trains low-rank adapters for each principal component, turning them into composable image control sliders.
Im- age2stylegan: How to embed images into the stylegan latent space? In Proceedings of the IEEE/CVF inter- national conference on computer vision, pages 4432– 4441, 2019
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SliderSpace: Decomposing the Visual Capabilities of Diffusion Models
SliderSpace uses PCA on CLIP embeddings of a diffusion model's own samples, then trains low-rank adapters for each principal component, turning them into composable image control sliders.