Efficient Distillation of Classifier-Free Guidance using Adapters Paper • 2503.07274 • Published 3 days ago • 4 • 1
Eliminating Oversaturation and Artifacts of High Guidance Scales in Diffusion Models Paper • 2410.02416 • Published Oct 3, 2024 • 27 • 4
Eliminating Oversaturation and Artifacts of High Guidance Scales in Diffusion Models Paper • 2410.02416 • Published Oct 3, 2024 • 27 • 4
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models Paper • 2405.14477 • Published May 23, 2024 • 19 • 11
No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models Paper • 2407.02687 • Published Jul 2, 2024 • 24 • 1
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models Paper • 2405.14477 • Published May 23, 2024 • 19 • 11
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models Paper • 2405.14477 • Published May 23, 2024 • 19 • 11
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models Paper • 2405.14477 • Published May 23, 2024 • 19 • 11