19 дек. 2022 г. · We explore a new class of diffusion models based on the transformer architecture. We train latent diffusion models of images, replacing the commonly-used U-Net ... |
This repo contains PyTorch model definitions, pre-trained weights and training/sampling code for our paper exploring diffusion models with transformers (DiTs). |
23 мая 2024 г. · A Diffusion Transformer is a diffusion model combined with the Transformer architecture, used for image and video generation tasks, capable of ... |
We explore a new class of diffusion models based on the transformer architecture. We train latent diffusion models of images, replacing the commonly-used U-Net ... |
We introduce Diffusion Transformers (DiTs), a simple transformer-based backbone for diffusion models that out- performs prior U-Net models and inherits the ... |
We explore a new class of diffusion models based on the transformer architecture. We train latent diffusion models, replacing the commonly-used U-Net ... |
Videolar 9 окт. 2024 г. · The results are striking: our simple strategy yields significant improvements in both training efficiency and generation quality when applied to ... |
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