We propose a novel PTQ method specifically designed for the unique multi-timestep pipeline and model architecture of diffusion models, which compresses the ...

Dec 19, 2022 · We view diffusion and existing language models as complementary. We demonstrate that encoder-decoder language models can be utilized to ...

Sep 27, 2023 · This series aims to explain the mechanism of Latent Diffusion Models (LDMs) [1], which are a type of latent text-to-image diffusion model.

Sep 12, 2023 · In this work, we propose a novel approach that leverages the expressiveness of latent diffusion to model in-support trajectory sequences as ...

The model synergizes non-autoregressive latent semantic diffusion with autoregressive generation to overcome the hurdles faced by its predecessors. Specifically ...

Sep 29, 2022 · Let's dive into the math to make it crystal clear. Forward diffusion. Diffusion models can be seen as latent variable models. Latent means that ...

Oct 6, 2023 · Latent diffusion models are deep learning models that have recently emerged as a powerful high-resolution image generation and manipulation ...

Abstract. Latent diffusion models (LDMs) exhibit an impressive ability to produce realistic images, yet the inner workings of these models remain mysterious ...

We fully quantize act-to-act matmuls, validated by experiments involving both pixel-space and latent-space diffusion models on large-scale datasets up to ...