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.
Styleflow: Attribute-conditioned explo- ration of stylegan-generated images using conditional continuous normalizing flows
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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.