latent diffusion
latent-diffusion-1c3770d4·2 events·first seen 1mo agoAliases: latent diffusion
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PLAID: Repurposing Protein Folding Models for Multimodal Protein Generation with Latent Diffusion
PLAID is a generative model that simultaneously produces protein 1D sequences and 3D all-atom structures by learning a diffusion model over the latent space of ESMFold, a protein folding model. It requires only sequence data for training—leveraging databases 2-4 orders of magnitude larger than structure databases—and decodes structure at inference via frozen folding model weights. The approach supports compositional prompting by function and organism, addressing practical drug-design constraints like humanization and solubility. A companion compression model, CHEAP, addresses the high-dimensionality of transformer latent spaces to make the diffusion training tractable.
Introducing Würstchen: Fast Diffusion for Image Generation
Hugging Face introduces Würstchen, a latent diffusion architecture designed for fast and efficient image generation. The model operates in a highly compressed latent space, reducing computational requirements significantly compared to standard diffusion models. It is being integrated into the Diffusers library, making it accessible for the broader community.